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GPT-5.1 serves as the primary full-capability successor to GPT-5",[108,107,109],[107],"2026-04-04T08:30:16.923519Z",49.4,80.1,36.5,43.2,44,1763060305,96.075,0.662,27.4,27.3,{"id":1988,"slug":1989,"model":1990,"model_name":1991,"provider_id":1992,"provider":1993,"provider_name":18,"input_price_per_1m_tokens":41,"output_price_per_1m_tokens":301,"response_time_ms":1994,"actual_cost_usd":933,"input_cost_per_word_usd":45,"output_cost_per_word_usd":304,"has_tiered_pricing":25,"context_length":26,"pricing_input_cache_read":934,"pricing_input_cache_write":28,"description":1995,"modality":105,"input_modalities":1996,"output_modalities":1997,"tokenizer":111,"instruct_type":28,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":1998,"benchmark_livecodebench":28,"benchmark_mmlu_pro":28,"benchmark_gpqa":28,"benchmark_bbh":28,"benchmark_math_hard":28,"benchmark_aime":28,"benchmark_aime_25":28,"benchmark_ifeval":28,"benchmark_hle":28,"benchmark_scicode":28,"benchmark_ifbench":28,"benchmark_lcr":28,"benchmark_terminalbench":28,"benchmark_tau2":28,"benchmark_aider":28,"benchmark_livecodebench_reasoning":28,"benchmark_mmlu_pro_reasoning":28,"benchmark_gpqa_reasoning":28,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":28,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":28,"benchmark_scicode_reasoning":28,"benchmark_ifbench_reasoning":28,"benchmark_lcr_reasoning":28,"benchmark_terminalbench_reasoning":28,"benchmark_tau2_reasoning":28,"benchmark_aider_reasoning":28,"released_at":1999,"tokens_per_second":28,"time_to_first_token":28,"time_to_first_answer_token":28,"tokens_per_second_reasoning":28,"time_to_first_token_reasoning":28,"time_to_first_answer_token_reasoning":28,"benchmark_intelligence":28,"benchmark_coding":28,"benchmark_math":28,"benchmark_intelligence_reasoning":28,"benchmark_coding_reasoning":28,"benchmark_math_reasoning":28,"supports_vision":32,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":32,"supports_web_search":32,"supports_prompt_caching":32,"is_open":25,"supports_reasoning":32,"supports_tool_calls":32,"has_current_pricing":32},"5b7c335d-89c2-4d94-9a72-51afef049103","openai-gpt-5.1-chat","gpt-5.1-chat","GPT-5.1 Chat","openai:gpt-5.1-chat","OpenAI GPT-5.1 Chat",2639,"GPT-5.1 Chat (AKA Instant is the fast, lightweight member of the 5.1 family, optimized for low-latency chat while retaining strong general intelligence. It uses adaptive reasoning to selectively “think” on harder queries, improving accuracy on math, coding, and multi-step tasks without slowing down typical conversations. The model is warmer and more conversational by default, with better instruction following and more stable short-form reasoning. GPT-5.1 Chat is designed for high-throughput, interactive workloads where responsiveness and consistency matter more than deep deliberation.\n",[109,108,107],[107],"2026-04-04T08:30:16.923524Z",1763060302,{"id":2001,"slug":2002,"model":2003,"model_name":2004,"provider_id":2005,"provider":2006,"provider_name":160,"input_price_per_1m_tokens":2007,"output_price_per_1m_tokens":551,"response_time_ms":2008,"actual_cost_usd":2009,"input_cost_per_word_usd":2010,"output_cost_per_word_usd":554,"has_tiered_pricing":25,"context_length":337,"pricing_input_cache_read":2011,"pricing_input_cache_write":28,"description":2012,"modality":340,"input_modalities":2013,"output_modalities":2014,"tokenizer":615,"instruct_type":28,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":2015,"benchmark_livecodebench":28,"benchmark_mmlu_pro":28,"benchmark_gpqa":1527,"benchmark_bbh":28,"benchmark_math_hard":28,"benchmark_aime":28,"benchmark_aime_25":28,"benchmark_ifeval":28,"benchmark_hle":2016,"benchmark_scicode":2017,"benchmark_ifbench":2018,"benchmark_lcr":2019,"benchmark_terminalbench":114,"benchmark_tau2":1919,"benchmark_aider":28,"benchmark_livecodebench_reasoning":28,"benchmark_mmlu_pro_reasoning":28,"benchmark_gpqa_reasoning":28,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":28,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":28,"benchmark_scicode_reasoning":28,"benchmark_ifbench_reasoning":28,"benchmark_lcr_reasoning":28,"benchmark_terminalbench_reasoning":28,"benchmark_tau2_reasoning":28,"benchmark_aider_reasoning":28,"released_at":2020,"tokens_per_second":2021,"time_to_first_token":2022,"time_to_first_answer_token":2022,"tokens_per_second_reasoning":28,"time_to_first_token_reasoning":28,"time_to_first_answer_token_reasoning":28,"benchmark_intelligence":892,"benchmark_coding":624,"benchmark_math":28,"benchmark_intelligence_reasoning":28,"benchmark_coding_reasoning":28,"benchmark_math_reasoning":28,"supports_vision":32,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":28,"supports_web_search":28,"supports_prompt_caching":28,"is_open":32,"supports_reasoning":25,"supports_tool_calls":32,"has_current_pricing":32},"0dba8c58-9e0c-4e84-9588-c35b08e261eb","qwen-qwen3.5-35b-a3b","qwen3.5-35b-a3b","Qwen3.5-35B-A3B","qwen:qwen3.5-35b-a3b","Qwen Qwen3.5-35B-A3B",0.1625,2790,0.00053125,6.5e-7,0.1563,"The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall performance is comparable to that of the Qwen3.5-27B.",[107,108,342],[107],"2026-04-04T08:30:16.924121Z",12.8,29.3,44.5,55.3,1772053822,144.874,1.039,{"id":2024,"slug":2025,"model":2026,"model_name":2027,"provider_id":2028,"provider":2029,"provider_name":18,"input_price_per_1m_tokens":41,"output_price_per_1m_tokens":301,"response_time_ms":2030,"actual_cost_usd":933,"input_cost_per_word_usd":45,"output_cost_per_word_usd":304,"has_tiered_pricing":25,"context_length":771,"pricing_input_cache_read":934,"pricing_input_cache_write":28,"description":2031,"modality":528,"input_modalities":2032,"output_modalities":2033,"tokenizer":111,"instruct_type":28,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":2034,"benchmark_livecodebench":2035,"benchmark_mmlu_pro":2036,"benchmark_gpqa":2036,"benchmark_bbh":28,"benchmark_math_hard":28,"benchmark_aime":28,"benchmark_aime_25":1958,"benchmark_ifeval":28,"benchmark_hle":84,"benchmark_scicode":2037,"benchmark_ifbench":2038,"benchmark_lcr":2039,"benchmark_terminalbench":56,"benchmark_tau2":2040,"benchmark_aider":28,"benchmark_livecodebench_reasoning":28,"benchmark_mmlu_pro_reasoning":28,"benchmark_gpqa_reasoning":28,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":28,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":28,"benchmark_scicode_reasoning":28,"benchmark_ifbench_reasoning":28,"benchmark_lcr_reasoning":28,"benchmark_terminalbench_reasoning":28,"benchmark_tau2_reasoning":28,"benchmark_aider_reasoning":28,"released_at":2041,"tokens_per_second":2042,"time_to_first_token":2043,"time_to_first_answer_token":2043,"tokens_per_second_reasoning":28,"time_to_first_token_reasoning":28,"time_to_first_answer_token_reasoning":28,"benchmark_intelligence":1189,"benchmark_coding":2044,"benchmark_math":1958,"benchmark_intelligence_reasoning":28,"benchmark_coding_reasoning":28,"benchmark_math_reasoning":28,"supports_vision":32,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":28,"supports_web_search":28,"supports_prompt_caching":32,"is_open":25,"supports_reasoning":32,"supports_tool_calls":32,"has_current_pricing":32},"3bccdb83-1e8c-45b4-90d1-9fd02056ea15","openai-gpt-5.1-codex","gpt-5.1-codex","GPT-5.1-Codex","openai:gpt-5.1-codex","OpenAI GPT-5.1-Codex",1302,"GPT-5.1-Codex is a specialized version of GPT-5.1 optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks. The model supports building projects from scratch, feature development, debugging, large-scale refactoring, and code review. Compared to GPT-5.1, Codex is more steerable, adheres closely to developer instructions, and produces cleaner, higher-quality code outputs. Reasoning effort can be adjusted with the `reasoning.effort` parameter. Read the [docs here](https://openrouter.ai/docs/use-cases/reasoning-tokens#reasoning-effort-level)\n\nCodex integrates into developer environments including the CLI, IDE extensions, GitHub, and cloud tasks. It adapts reasoning effort dynamically—providing fast responses for small tasks while sustaining extended multi-hour runs for large projects. The model is trained to perform structured code reviews, catching critical flaws by reasoning over dependencies and validating behavior against tests. It also supports multimodal inputs such as images or screenshots for UI development and integrates tool use for search, dependency installation, and environment setup. Codex is intended specifically for agentic coding applications.",[107,108],[107],"2026-04-04T08:30:16.923527Z",84.9,86,40.2,70,67.3,83,1763060298,167.641,4.784,36.6,{"id":2046,"slug":2047,"model":2048,"model_name":2049,"provider_id":2050,"provider":2051,"provider_name":18,"input_price_per_1m_tokens":103,"output_price_per_1m_tokens":133,"response_time_ms":598,"actual_cost_usd":2052,"input_cost_per_word_usd":2053,"output_cost_per_word_usd":137,"has_tiered_pricing":25,"context_length":771,"pricing_input_cache_read":2054,"pricing_input_cache_write":28,"description":2055,"modality":528,"input_modalities":2056,"output_modalities":2057,"tokenizer":111,"instruct_type":28,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":2058,"benchmark_livecodebench":842,"benchmark_mmlu_pro":2059,"benchmark_gpqa":2060,"benchmark_bbh":28,"benchmark_math_hard":28,"benchmark_aime":28,"benchmark_aime_25":1957,"benchmark_ifeval":28,"benchmark_hle":2061,"benchmark_scicode":1237,"benchmark_ifbench":1157,"benchmark_lcr":1916,"benchmark_terminalbench":223,"benchmark_tau2":2062,"benchmark_aider":28,"benchmark_livecodebench_reasoning":28,"benchmark_mmlu_pro_reasoning":28,"benchmark_gpqa_reasoning":28,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":28,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":28,"benchmark_scicode_reasoning":28,"benchmark_ifbench_reasoning":28,"benchmark_lcr_reasoning":28,"benchmark_terminalbench_reasoning":28,"benchmark_tau2_reasoning":28,"benchmark_aider_reasoning":28,"released_at":2063,"tokens_per_second":2064,"time_to_first_token":2065,"time_to_first_answer_token":2065,"tokens_per_second_reasoning":28,"time_to_first_token_reasoning":28,"time_to_first_answer_token_reasoning":28,"benchmark_intelligence":1639,"benchmark_coding":351,"benchmark_math":1957,"benchmark_intelligence_reasoning":28,"benchmark_coding_reasoning":28,"benchmark_math_reasoning":28,"supports_vision":32,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":28,"supports_web_search":28,"supports_prompt_caching":32,"is_open":25,"supports_reasoning":32,"supports_tool_calls":32,"has_current_pricing":32},"8bb9bbbf-65d6-4c3c-ba48-cde985c539f8","openai-gpt-5.1-codex-mini","gpt-5.1-codex-mini","GPT-5.1-Codex-Mini","openai:gpt-5.1-codex-mini","OpenAI GPT-5.1-Codex-Mini",0.001125,0.000001,0.025,"GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex",[108,107],[107],"2026-04-04T08:30:16.923530Z",82,81.3,16.9,62.9,1763057820,170.431,3.177,{"id":2067,"slug":2068,"model":2069,"model_name":2070,"provider_id":2071,"provider":2072,"provider_name":1114,"input_price_per_1m_tokens":180,"output_price_per_1m_tokens":1115,"response_time_ms":2073,"actual_cost_usd":2074,"input_cost_per_word_usd":259,"output_cost_per_word_usd":435,"has_tiered_pricing":25,"context_length":1470,"pricing_input_cache_read":188,"pricing_input_cache_write":41,"description":2075,"modality":528,"input_modalities":2076,"output_modalities":2077,"tokenizer":1123,"instruct_type":28,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":2078,"benchmark_livecodebench":2079,"benchmark_mmlu_pro":2080,"benchmark_gpqa":2081,"benchmark_bbh":28,"benchmark_math_hard":28,"benchmark_aime":28,"benchmark_aime_25":476,"benchmark_ifeval":28,"benchmark_hle":2082,"benchmark_scicode":2083,"benchmark_ifbench":2084,"benchmark_lcr":753,"benchmark_terminalbench":1986,"benchmark_tau2":1055,"benchmark_aider":28,"benchmark_livecodebench_reasoning":2085,"benchmark_mmlu_pro_reasoning":2086,"benchmark_gpqa_reasoning":748,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":941,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":2087,"benchmark_scicode_reasoning":1631,"benchmark_ifbench_reasoning":1742,"benchmark_lcr_reasoning":2088,"benchmark_terminalbench_reasoning":1986,"benchmark_tau2_reasoning":2089,"benchmark_aider_reasoning":28,"released_at":2090,"tokens_per_second":2091,"time_to_first_token":2092,"time_to_first_answer_token":2092,"tokens_per_second_reasoning":2093,"time_to_first_token_reasoning":2094,"time_to_first_answer_token_reasoning":2094,"benchmark_intelligence":860,"benchmark_coding":2095,"benchmark_math":476,"benchmark_intelligence_reasoning":993,"benchmark_coding_reasoning":2096,"benchmark_math_reasoning":941,"supports_vision":32,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":28,"supports_web_search":32,"supports_prompt_caching":32,"is_open":25,"supports_reasoning":32,"supports_tool_calls":32,"has_current_pricing":32},"947b1bae-ffaa-4b35-9530-0f3dd4841fd6","anthropic-claude-haiku-4.5","claude-haiku-4.5","Claude Haiku 4.5","anthropic:claude-haiku-4.5","Anthropic Claude Haiku 4.5",1829,0.003,"Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance across reasoning, coding, and computer-use tasks, Haiku 4.5 brings frontier-level capability to real-time and high-volume applications.\n\nIt introduces extended thinking to the Haiku line; enabling controllable reasoning depth, summarized or interleaved thought output, and tool-assisted workflows with full support for coding, bash, web search, and computer-use tools. Scoring >73% on SWE-bench Verified, Haiku 4.5 ranks among the world’s best coding models while maintaining exceptional responsiveness for sub-agents, parallelized execution, and scaled 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It is a state of the art image generation model with contextual understanding. It is capable of image generation, edits, and multi-turn conversations. Aspect ratios can be controlled with the [image_config API Parameter](https://openrouter.ai/docs/features/multimodal/image-generation#image-aspect-ratio-configuration)",[108,107],[108,107],"2026-04-04T08:30:16.923551Z",1759870431,{"id":2156,"slug":2157,"model":2158,"model_name":2159,"provider_id":2160,"provider":2161,"provider_name":18,"input_price_per_1m_tokens":97,"output_price_per_1m_tokens":2162,"response_time_ms":2163,"actual_cost_usd":2164,"input_cost_per_word_usd":101,"output_cost_per_word_usd":2165,"has_tiered_pricing":25,"context_length":771,"pricing_input_cache_read":28,"pricing_input_cache_write":28,"description":2166,"modality":105,"input_modalities":2167,"output_modalities":2168,"tokenizer":111,"instruct_type":28,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":2169,"benchmark_livecodebench":28,"benchmark_mmlu_pro":28,"benchmark_gpqa":28,"benchmark_bbh":28,"benchmark_math_hard":28,"benchmark_aime":28,"benchmark_aime_25":28,"benchmark_ifeval":28,"benchmark_hle":28,"benchmark_scicode":28,"benchmark_ifbench":28,"benchmark_lcr":28,"benchmark_terminalbench":28,"benchmark_tau2":28,"benchmark_aider":28,"benchmark_livecodebench_reasoning":28,"benchmark_mmlu_pro_reasoning":28,"benchmark_gpqa_reasoning":28,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":28,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":28,"benchmark_scicode_reasoning":28,"benchmark_ifbench_reasoning":28,"benchmark_lcr_reasoning":28,"benchmark_terminalbench_reasoning":28,"benchmark_tau2_reasoning":28,"benchmark_aider_reasoning":28,"released_at":2170,"tokens_per_second":28,"time_to_first_token":28,"time_to_first_answer_token":28,"tokens_per_second_reasoning":28,"time_to_first_token_reasoning":28,"time_to_first_answer_token_reasoning":28,"benchmark_intelligence":28,"benchmark_coding":28,"benchmark_math":28,"benchmark_intelligence_reasoning":28,"benchmark_coding_reasoning":28,"benchmark_math_reasoning":28,"supports_vision":32,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":32,"supports_web_search":32,"supports_prompt_caching":28,"is_open":25,"supports_reasoning":32,"supports_tool_calls":32,"has_current_pricing":32},"9c197edb-1d55-4a41-b7a0-7f5eeb8c9a5a","openai-gpt-5-pro","gpt-5-pro","GPT-5 Pro","openai:gpt-5-pro","OpenAI GPT-5 Pro",120,2844,0.0675,0.00048,"GPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy in high-stakes use cases. 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It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with improvements across system design, code security, and specification adherence. The model is designed for extended autonomous operation, maintaining task continuity across sessions and providing fact-based progress tracking.\n\nSonnet 4.5 also introduces stronger agentic capabilities, including improved tool orchestration, speculative parallel execution, and more efficient context and memory management. With enhanced context tracking and awareness of token usage across tool calls, it is particularly well-suited for multi-context and long-running workflows. Use cases span software engineering, cybersecurity, financial analysis, research agents, and other domains requiring sustained reasoning and tool use.",[107,108,109],[107],"2026-04-04T08:30:16.923560Z",37,42.8,42.7,28.8,70.5,71.4,87.5,83.4,88,17.3,44.7,57.3,78.1,1759161676,44.924,0.975,47.187,7.442,{"id":2201,"slug":2202,"model":2203,"model_name":2204,"provider_id":2205,"provider":2206,"provider_name":18,"input_price_per_1m_tokens":41,"output_price_per_1m_tokens":301,"response_time_ms":410,"actual_cost_usd":933,"input_cost_per_word_usd":45,"output_cost_per_word_usd":304,"has_tiered_pricing":25,"context_length":771,"pricing_input_cache_read":934,"pricing_input_cache_write":28,"description":2207,"modality":528,"input_modalities":2208,"output_modalities":2209,"tokenizer":111,"instruct_type":28,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":2210,"benchmark_livecodebench":1125,"benchmark_mmlu_pro":2211,"benchmark_gpqa":941,"benchmark_bbh":28,"benchmark_math_hard":28,"benchmark_aime":28,"benchmark_aime_25":2212,"benchmark_ifeval":28,"benchmark_hle":2213,"benchmark_scicode":1918,"benchmark_ifbench":2214,"benchmark_lcr":2215,"benchmark_terminalbench":118,"benchmark_tau2":2216,"benchmark_aider":28,"benchmark_livecodebench_reasoning":28,"benchmark_mmlu_pro_reasoning":28,"benchmark_gpqa_reasoning":28,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":28,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":28,"benchmark_scicode_reasoning":28,"benchmark_ifbench_reasoning":28,"benchmark_lcr_reasoning":28,"benchmark_terminalbench_reasoning":28,"benchmark_tau2_reasoning":28,"benchmark_aider_reasoning":28,"released_at":2217,"tokens_per_second":2218,"time_to_first_token":2219,"time_to_first_answer_token":2219,"tokens_per_second_reasoning":28,"time_to_first_token_reasoning":28,"time_to_first_answer_token_reasoning":28,"benchmark_intelligence":1128,"benchmark_coding":2220,"benchmark_math":2212,"benchmark_intelligence_reasoning":28,"benchmark_coding_reasoning":28,"benchmark_math_reasoning":28,"supports_vision":32,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":28,"supports_web_search":28,"supports_prompt_caching":32,"is_open":25,"supports_reasoning":32,"supports_tool_calls":32,"has_current_pricing":32},"428b287e-a32e-48f1-9a96-0371e6f7a0f8","openai-gpt-5-codex","gpt-5-codex","GPT-5 Codex","openai:gpt-5-codex","OpenAI GPT-5 Codex","GPT-5-Codex is a specialized version of GPT-5 optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks. The model supports building projects from scratch, feature development, debugging, large-scale refactoring, and code review. Compared to GPT-5, Codex is more steerable, adheres closely to developer instructions, and produces cleaner, higher-quality code outputs. Reasoning effort can be adjusted with the `reasoning.effort` parameter. Read the [docs here](https://openrouter.ai/docs/use-cases/reasoning-tokens#reasoning-effort-level)\n\nCodex integrates into developer environments including the CLI, IDE extensions, GitHub, and cloud tasks. It adapts reasoning effort dynamically—providing fast responses for small tasks while sustaining extended multi-hour runs for large projects. The model is trained to perform structured code reviews, catching critical flaws by reasoning over dependencies and validating behavior against tests. 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It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and agentic tool use. Post-trained on instruction data, it demonstrates competitive performance across reasoning (AIME, ZebraLogic), coding (MultiPL-E, LiveCodeBench), and alignment (IFEval, WritingBench) benchmarks. It outperforms its non-instruct variant on subjective and open-ended tasks while retaining strong factual and coding performance.",[107],[107],"2026-04-04T08:30:16.923651Z",51.5,65.9,97.5,33.1,6.1,10.2,1753806965,63.047,1.107,{"id":2452,"slug":2453,"model":2454,"model_name":2455,"provider_id":2456,"provider":2457,"provider_name":160,"input_price_per_1m_tokens":2458,"output_price_per_1m_tokens":551,"response_time_ms":2459,"actual_cost_usd":2460,"input_cost_per_word_usd":2461,"output_cost_per_word_usd":554,"has_tiered_pricing":25,"context_length":337,"pricing_input_cache_read":40,"pricing_input_cache_write":28,"description":2462,"modality":262,"input_modalities":2463,"output_modalities":2464,"tokenizer":615,"instruct_type":616,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":2465,"benchmark_livecodebench":28,"benchmark_mmlu_pro":28,"benchmark_gpqa":28,"benchmark_bbh":28,"benchmark_math_hard":28,"benchmark_aime":28,"benchmark_aime_25":28,"benchmark_ifeval":28,"benchmark_hle":28,"benchmark_scicode":28,"benchmark_ifbench":28,"benchmark_lcr":28,"benchmark_terminalbench":28,"benchmark_tau2":28,"benchmark_aider":28,"benchmark_livecodebench_reasoning":2466,"benchmark_mmlu_pro_reasoning":944,"benchmark_gpqa_reasoning":483,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":2467,"benchmark_aime_reasoning":2468,"benchmark_aime_25_reasoning":2469,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":97,"benchmark_scicode_reasoning":1232,"benchmark_ifbench_reasoning":2470,"benchmark_lcr_reasoning":2314,"benchmark_terminalbench_reasoning":398,"benchmark_tau2_reasoning":778,"benchmark_aider_reasoning":28,"released_at":2471,"tokens_per_second":28,"time_to_first_token":28,"time_to_first_answer_token":28,"tokens_per_second_reasoning":2472,"time_to_first_token_reasoning":2473,"time_to_first_answer_token_reasoning":2474,"benchmark_intelligence":28,"benchmark_coding":28,"benchmark_math":28,"benchmark_intelligence_reasoning":949,"benchmark_coding_reasoning":2475,"benchmark_math_reasoning":2469,"supports_vision":25,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":28,"supports_web_search":28,"supports_prompt_caching":32,"is_open":32,"supports_reasoning":32,"supports_tool_calls":32,"has_current_pricing":32},"7b9c3ea7-4768-45c8-8161-93454a2c1ee6","qwen-qwen3-235b-a22b-thinking-2507","qwen3-235b-a22b-thinking-2507","Qwen3 235B A22B Thinking 2507","qwen:qwen3-235b-a22b-thinking-2507","Qwen Qwen3 235B A22B Thinking 2507",0.1495,2453,0.00052475,5.979999999999999e-7,"Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144 tokens of context. This \"thinking-only\" variant enhances structured logical reasoning, mathematics, science, and long-form generation, showing strong benchmark performance across AIME, SuperGPQA, LiveCodeBench, and MMLU-Redux. It enforces a special reasoning mode (\u003C/think>) and is designed for high-token outputs (up to 81,920 tokens) in challenging domains.\n\nThe model is instruction-tuned and excels at step-by-step reasoning, tool use, agentic workflows, and multilingual tasks. This release represents the most capable open-source variant in the Qwen3-235B series, surpassing many closed models in structured reasoning use 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Its unique ability to switch seamlessly between a thinking mode for complex reasoning and a non-thinking mode for efficient dialogue ensures versatile, high-quality performance.\n\nSignificantly outperforming prior models like QwQ and Qwen2.5, Qwen3 delivers superior mathematics, coding, commonsense reasoning, creative writing, and interactive dialogue capabilities. The Qwen3-30B-A3B variant includes 30.5 billion parameters (3.3 billion activated), 48 layers, 128 experts (8 activated per task), and supports up to 131K token contexts with YaRN, setting a new standard among open-source models.",[107],[107],"2026-04-04T08:30:16.923740Z",32.2,71,26,21.7,26.4,61.6,95.9,72.3,1745878604,68.867,0.993,66.758,1.027,30.986,13.3,11,{"id":2791,"slug":2792,"model":2793,"model_name":2794,"provider_id":2795,"provider":2796,"provider_name":160,"input_price_per_1m_tokens":1446,"output_price_per_1m_tokens":40,"response_time_ms":2797,"actual_cost_usd":2798,"input_cost_per_word_usd":2799,"output_cost_per_word_usd":44,"has_tiered_pricing":25,"context_length":611,"pricing_input_cache_read":188,"pricing_input_cache_write":28,"description":2800,"modality":262,"input_modalities":2801,"output_modalities":2802,"tokenizer":615,"instruct_type":616,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":2803,"benchmark_livecodebench":2804,"benchmark_mmlu_pro":2805,"benchmark_gpqa":1689,"benchmark_bbh":28,"benchmark_math_hard":1897,"benchmark_aime":2804,"benchmark_aime_25":1504,"benchmark_ifeval":28,"benchmark_hle":51,"benchmark_scicode":2555,"benchmark_ifbench":2318,"benchmark_lcr":175,"benchmark_terminalbench":754,"benchmark_tau2":2774,"benchmark_aider":28,"benchmark_livecodebench_reasoning":855,"benchmark_mmlu_pro_reasoning":2806,"benchmark_gpqa_reasoning":2807,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":2808,"benchmark_aime_reasoning":2809,"benchmark_aime_25_reasoning":397,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":2082,"benchmark_scicode_reasoning":491,"benchmark_ifbench_reasoning":854,"benchmark_lcr_reasoning":175,"benchmark_terminalbench_reasoning":199,"benchmark_tau2_reasoning":2425,"benchmark_aider_reasoning":28,"released_at":2810,"tokens_per_second":2811,"time_to_first_token":2812,"time_to_first_answer_token":2812,"tokens_per_second_reasoning":2813,"time_to_first_token_reasoning":2814,"time_to_first_answer_token_reasoning":2815,"benchmark_intelligence":2016,"benchmark_coding":2816,"benchmark_math":1504,"benchmark_intelligence_reasoning":2817,"benchmark_coding_reasoning":2818,"benchmark_math_reasoning":397,"supports_vision":25,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":28,"supports_web_search":28,"supports_prompt_caching":28,"is_open":32,"supports_reasoning":32,"supports_tool_calls":32,"has_current_pricing":32},"3754bb8c-7765-4275-9c3f-598a3e2f5bbc","qwen-qwen3-14b","qwen3-14b","Qwen3 14B","qwen:qwen3-14b","Qwen Qwen3 14B",1625,0.00013000000000000002,2.4e-7,"Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a \"thinking\" mode for tasks like math, programming, and logical inference, and a \"non-thinking\" mode for general-purpose conversation. The model is fine-tuned for instruction-following, agent tool use, creative writing, and multilingual tasks across 100+ languages and dialects. It natively handles 32K token contexts and can extend to 131K tokens using YaRN-based scaling.",[107],[107],"2026-04-04T08:30:16.923742Z",28,67.5,77.4,60.4,96.1,76.3,1745876478,65.77,0.994,63.636,1.074,32.503,12.4,16.2,13.1,{"id":2820,"slug":2821,"model":2822,"model_name":2823,"provider_id":2824,"provider":2825,"provider_name":160,"input_price_per_1m_tokens":2826,"output_price_per_1m_tokens":551,"response_time_ms":2827,"actual_cost_usd":2828,"input_cost_per_word_usd":2829,"output_cost_per_word_usd":554,"has_tiered_pricing":25,"context_length":337,"pricing_input_cache_read":2830,"pricing_input_cache_write":28,"description":2831,"modality":262,"input_modalities":2832,"output_modalities":2833,"tokenizer":615,"instruct_type":28,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":2834,"benchmark_livecodebench":2835,"benchmark_mmlu_pro":2466,"benchmark_gpqa":2836,"benchmark_bbh":28,"benchmark_math_hard":2837,"benchmark_aime":2838,"benchmark_aime_25":2839,"benchmark_ifeval":28,"benchmark_hle":2713,"benchmark_scicode":915,"benchmark_ifbench":854,"benchmark_lcr":2840,"benchmark_terminalbench":2841,"benchmark_tau2":399,"benchmark_aider":28,"benchmark_livecodebench_reasoning":28,"benchmark_mmlu_pro_reasoning":28,"benchmark_gpqa_reasoning":28,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":28,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":28,"benchmark_scicode_reasoning":28,"benchmark_ifbench_reasoning":28,"benchmark_lcr_reasoning":28,"benchmark_terminalbench_reasoning":28,"benchmark_tau2_reasoning":28,"benchmark_aider_reasoning":28,"released_at":2842,"tokens_per_second":2843,"time_to_first_token":2844,"time_to_first_answer_token":2844,"tokens_per_second_reasoning":28,"time_to_first_token_reasoning":28,"time_to_first_answer_token_reasoning":28,"benchmark_intelligence":2845,"benchmark_coding":861,"benchmark_math":2839,"benchmark_intelligence_reasoning":28,"benchmark_coding_reasoning":28,"benchmark_math_reasoning":28,"supports_vision":25,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":28,"supports_web_search":28,"supports_prompt_caching":32,"is_open":32,"supports_reasoning":25,"supports_tool_calls":32,"has_current_pricing":32},"b04ba9cb-b536-4335-97dc-d992337a7aa9","qwen-qwen3-coder","qwen3-coder","Qwen3 Coder 480B A35B (exacto)","qwen:qwen3-coder","Qwen Qwen3 Coder 480B A35B (exacto)",0.22,1121,0.0005600000000000001,8.8e-7,0.022,"Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as function calling, tool use, and long-context reasoning over repositories. The model features 480 billion total parameters, with 35 billion active per forward pass (8 out of 160 experts).\n\nPricing for the Alibaba endpoints varies by context length. Once a request is greater than 128k input tokens, the higher pricing is used.",[107],[107],"2026-04-04T08:30:16.923744Z",58.5,61.8,94.2,47.7,39.3,42.3,18.9,1753230546,66.053,1.574,24.8,{"id":2847,"slug":2848,"model":2849,"model_name":2850,"provider_id":2851,"provider":2852,"provider_name":160,"input_price_per_1m_tokens":1579,"output_price_per_1m_tokens":2853,"response_time_ms":2854,"actual_cost_usd":2105,"input_cost_per_word_usd":1582,"output_cost_per_word_usd":2855,"has_tiered_pricing":25,"context_length":611,"pricing_input_cache_read":1736,"pricing_input_cache_write":28,"description":2856,"modality":262,"input_modalities":2857,"output_modalities":2858,"tokenizer":615,"instruct_type":616,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":2859,"benchmark_livecodebench":2185,"benchmark_mmlu_pro":1688,"benchmark_gpqa":1181,"benchmark_bbh":28,"benchmark_math_hard":2860,"benchmark_aime":82,"benchmark_aime_25":2355,"benchmark_ifeval":28,"benchmark_hle":2082,"benchmark_scicode":2804,"benchmark_ifbench":2489,"benchmark_lcr":175,"benchmark_terminalbench":28,"benchmark_tau2":28,"benchmark_aider":395,"benchmark_livecodebench_reasoning":1098,"benchmark_mmlu_pro_reasoning":2861,"benchmark_gpqa_reasoning":2862,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":2808,"benchmark_aime_reasoning":2863,"benchmark_aime_25_reasoning":2864,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":2865,"benchmark_scicode_reasoning":123,"benchmark_ifbench_reasoning":2653,"benchmark_lcr_reasoning":175,"benchmark_terminalbench_reasoning":1221,"benchmark_tau2_reasoning":2866,"benchmark_aider_reasoning":28,"released_at":2867,"tokens_per_second":2868,"time_to_first_token":2869,"time_to_first_answer_token":2869,"tokens_per_second_reasoning":2870,"time_to_first_token_reasoning":2871,"time_to_first_answer_token_reasoning":2872,"benchmark_intelligence":895,"benchmark_coding":28,"benchmark_math":2355,"benchmark_intelligence_reasoning":2873,"benchmark_coding_reasoning":2381,"benchmark_math_reasoning":2864,"supports_vision":25,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":28,"supports_web_search":28,"supports_prompt_caching":32,"is_open":32,"supports_reasoning":32,"supports_tool_calls":32,"has_current_pricing":32},"093ea70c-01f1-43df-9c9f-037e45e7ec5d","qwen-qwen3-32b","qwen3-32b","Qwen3 32B","qwen:qwen3-32b","Qwen Qwen3 32B",0.24,1293,9.6e-7,"Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a \"thinking\" mode for tasks like math, coding, and logical inference, and a \"non-thinking\" mode for faster, general-purpose conversation. The model demonstrates strong performance in instruction-following, agent tool use, creative writing, and multilingual tasks across 100+ languages and dialects. It natively handles 32K token contexts and can extend to 131K tokens using YaRN-based scaling. ",[107],[107],"2026-04-04T08:30:16.923746Z",86.9,79.8,66.8,80.7,73,8.3,29.8,1745875945,107.184,0.942,107.19,0.959,19.617,16.5,{"id":2875,"slug":2876,"model":2877,"model_name":2878,"provider_id":2879,"provider":2880,"provider_name":160,"input_price_per_1m_tokens":332,"output_price_per_1m_tokens":1464,"response_time_ms":2881,"actual_cost_usd":2882,"input_cost_per_word_usd":336,"output_cost_per_word_usd":1468,"has_tiered_pricing":25,"context_length":525,"pricing_input_cache_read":338,"pricing_input_cache_write":28,"description":2883,"modality":262,"input_modalities":2884,"output_modalities":2885,"tokenizer":615,"instruct_type":616,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":2886,"benchmark_livecodebench":2398,"benchmark_mmlu_pro":916,"benchmark_gpqa":2683,"benchmark_bbh":28,"benchmark_math_hard":2887,"benchmark_aime":53,"benchmark_aime_25":2888,"benchmark_ifeval":28,"benchmark_hle":827,"benchmark_scicode":2889,"benchmark_ifbench":2044,"benchmark_lcr":175,"benchmark_terminalbench":2446,"benchmark_tau2":2890,"benchmark_aider":2891,"benchmark_livecodebench_reasoning":992,"benchmark_mmlu_pro_reasoning":621,"benchmark_gpqa_reasoning":2038,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":2892,"benchmark_aime_reasoning":1125,"benchmark_aime_25_reasoning":2059,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":997,"benchmark_scicode_reasoning":777,"benchmark_ifbench_reasoning":358,"benchmark_lcr_reasoning":175,"benchmark_terminalbench_reasoning":2446,"benchmark_tau2_reasoning":2637,"benchmark_aider_reasoning":28,"released_at":2893,"tokens_per_second":2894,"time_to_first_token":2895,"time_to_first_answer_token":2895,"tokens_per_second_reasoning":2896,"time_to_first_token_reasoning":2897,"time_to_first_answer_token_reasoning":2898,"benchmark_intelligence":2899,"benchmark_coding":283,"benchmark_math":2888,"benchmark_intelligence_reasoning":2900,"benchmark_coding_reasoning":1186,"benchmark_math_reasoning":2059,"supports_vision":25,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":28,"supports_web_search":28,"supports_prompt_caching":28,"is_open":32,"supports_reasoning":32,"supports_tool_calls":32,"has_current_pricing":32},"6e0bfad3-751a-4392-87e1-17f2ceb51aea","qwen-qwen3-235b-a22b","qwen3-235b-a22b","Qwen3 235B A22B","qwen:qwen3-235b-a22b","Qwen Qwen3 235B A22B",2694,0.0006000000000000001,"Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass. It supports seamless switching between a \"thinking\" mode for complex reasoning, math, and code tasks, and a \"non-thinking\" mode for general conversational efficiency. The model demonstrates strong reasoning ability, multilingual support (100+ languages and dialects), advanced instruction-following, and agent tool-calling capabilities. It natively handles a 32K token context window and extends up to 131K tokens using YaRN-based scaling.",[107],[107],"2026-04-04T08:30:16.923749Z",90.2,23.7,29.9,27.2,59.6,93,1745875757,52.051,1.128,51.275,1.217,40.222,17,19.8,{"id":2902,"slug":2903,"model":2904,"model_name":2905,"provider_id":2906,"provider":2907,"provider_name":18,"input_price_per_1m_tokens":2908,"output_price_per_1m_tokens":2713,"response_time_ms":2909,"actual_cost_usd":2910,"input_cost_per_word_usd":2911,"output_cost_per_word_usd":2912,"has_tiered_pricing":25,"context_length":1470,"pricing_input_cache_read":2913,"pricing_input_cache_write":28,"description":2914,"modality":105,"input_modalities":2915,"output_modalities":2916,"tokenizer":111,"instruct_type":28,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":2917,"benchmark_livecodebench":28,"benchmark_mmlu_pro":28,"benchmark_gpqa":28,"benchmark_bbh":28,"benchmark_math_hard":28,"benchmark_aime":28,"benchmark_aime_25":28,"benchmark_ifeval":28,"benchmark_hle":28,"benchmark_scicode":28,"benchmark_ifbench":28,"benchmark_lcr":28,"benchmark_terminalbench":28,"benchmark_tau2":28,"benchmark_aider":28,"benchmark_livecodebench_reasoning":28,"benchmark_mmlu_pro_reasoning":28,"benchmark_gpqa_reasoning":28,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":28,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":28,"benchmark_scicode_reasoning":28,"benchmark_ifbench_reasoning":28,"benchmark_lcr_reasoning":28,"benchmark_terminalbench_reasoning":28,"benchmark_tau2_reasoning":28,"benchmark_aider_reasoning":28,"released_at":2918,"tokens_per_second":28,"time_to_first_token":28,"time_to_first_answer_token":28,"tokens_per_second_reasoning":28,"time_to_first_token_reasoning":28,"time_to_first_answer_token_reasoning":28,"benchmark_intelligence":28,"benchmark_coding":28,"benchmark_math":28,"benchmark_intelligence_reasoning":28,"benchmark_coding_reasoning":28,"benchmark_math_reasoning":28,"supports_vision":32,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":32,"supports_web_search":32,"supports_prompt_caching":32,"is_open":25,"supports_reasoning":32,"supports_tool_calls":32,"has_current_pricing":32},"643c7666-865e-4d6d-880f-89d4cf579572","openai-o4-mini-high","o4-mini-high","o4 Mini High","openai:o4-mini-high","OpenAI o4 Mini High",1.1,2809,0.00275,0.0000044,0.0000176,0.275,"OpenAI o4-mini-high is the same model as [o4-mini](/openai/o4-mini) with reasoning_effort set to high. \n\nOpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning and coding performance across benchmarks like AIME (99.5% with Python) and SWE-bench, outperforming its predecessor o3-mini and even approaching o3 in some domains.\n\nDespite its smaller size, o4-mini exhibits high accuracy in STEM tasks, visual problem solving (e.g., MathVista, MMMU), and code editing. It is especially well-suited for high-throughput scenarios where latency or cost is critical. Thanks to its efficient architecture and refined reinforcement learning training, o4-mini can chain tools, generate structured outputs, and solve multi-step tasks with minimal delay—often in under a minute.",[108,107,109],[107],"2026-04-04T08:30:16.923751Z",1744824212,{"id":2920,"slug":2921,"model":2922,"model_name":2923,"provider_id":2924,"provider":2925,"provider_name":18,"input_price_per_1m_tokens":2908,"output_price_per_1m_tokens":2713,"response_time_ms":2926,"actual_cost_usd":2910,"input_cost_per_word_usd":2911,"output_cost_per_word_usd":2912,"has_tiered_pricing":25,"context_length":1470,"pricing_input_cache_read":2913,"pricing_input_cache_write":28,"description":2927,"modality":105,"input_modalities":2928,"output_modalities":2929,"tokenizer":111,"instruct_type":28,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":2930,"benchmark_livecodebench":2931,"benchmark_mmlu_pro":482,"benchmark_gpqa":2264,"benchmark_bbh":28,"benchmark_math_hard":2932,"benchmark_aime":2468,"benchmark_aime_25":2354,"benchmark_ifeval":28,"benchmark_hle":2933,"benchmark_scicode":1048,"benchmark_ifbench":886,"benchmark_lcr":2934,"benchmark_terminalbench":2424,"benchmark_tau2":2375,"benchmark_aider":2655,"benchmark_livecodebench_reasoning":28,"benchmark_mmlu_pro_reasoning":28,"benchmark_gpqa_reasoning":28,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":28,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":28,"benchmark_scicode_reasoning":28,"benchmark_ifbench_reasoning":28,"benchmark_lcr_reasoning":28,"benchmark_terminalbench_reasoning":28,"benchmark_tau2_reasoning":28,"benchmark_aider_reasoning":28,"released_at":2935,"tokens_per_second":2936,"time_to_first_token":2937,"time_to_first_answer_token":2937,"tokens_per_second_reasoning":28,"time_to_first_token_reasoning":28,"time_to_first_answer_token_reasoning":28,"benchmark_intelligence":2445,"benchmark_coding":2213,"benchmark_math":2354,"benchmark_intelligence_reasoning":28,"benchmark_coding_reasoning":28,"benchmark_math_reasoning":28,"supports_vision":32,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":32,"supports_web_search":32,"supports_prompt_caching":32,"is_open":25,"supports_reasoning":32,"supports_tool_calls":32,"has_current_pricing":32},"40b3d6fc-ac45-4e8c-b17b-67ba28f34a81","openai-o4-mini","o4-mini","o4 Mini","openai:o4-mini","OpenAI o4 Mini",1922,"OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning and coding performance across benchmarks like AIME (99.5% with Python) and SWE-bench, outperforming its predecessor o3-mini and even approaching o3 in some domains.\n\nDespite its smaller size, o4-mini exhibits high accuracy in STEM tasks, visual problem solving (e.g., MathVista, MMMU), and code editing. It is especially well-suited for high-throughput scenarios where latency or cost is critical. 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Based on the Qwen2.5 architecture, it incorporates enhancements like RoPE, SwiGLU, RMSNorm, and GQA attention with support for up to 128K tokens using YaRN-based extrapolation. It is trained on a large corpus of source code, synthetic data, and text-code grounding, providing robust performance across programming languages and agentic coding workflows.\n\nThis model is part of the Qwen2.5-Coder family and offers strong compatibility with tools like vLLM for efficient deployment. 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It supports a 1 million token context window and outperforms GPT-4o and GPT-4.5 across coding (54.6% SWE-bench Verified), instruction compliance (87.4% IFEval), and multimodal understanding benchmarks. It is tuned for precise code diffs, agent reliability, and high recall in large document contexts, making it ideal for agents, IDE tooling, and enterprise knowledge retrieval.",[108,107,109],[107],"2026-04-04T08:30:16.923758Z",66.6,38.1,61,1744651385,97.534,0.577,26.3,{"id":2976,"slug":2977,"model":2978,"model_name":2979,"provider_id":2980,"provider":2981,"provider_name":18,"input_price_per_1m_tokens":332,"output_price_per_1m_tokens":2982,"response_time_ms":2983,"actual_cost_usd":2534,"input_cost_per_word_usd":336,"output_cost_per_word_usd":2984,"has_tiered_pricing":25,"context_length":2963,"pricing_input_cache_read":188,"pricing_input_cache_write":28,"description":2985,"modality":105,"input_modalities":2986,"output_modalities":2987,"tokenizer":111,"instruct_type":28,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":2988,"benchmark_livecodebench":2989,"benchmark_mmlu_pro":2194,"benchmark_gpqa":2990,"benchmark_bbh":28,"benchmark_math_hard":2991,"benchmark_aime":1106,"benchmark_aime_25":2992,"benchmark_ifeval":28,"benchmark_hle":878,"benchmark_scicode":1709,"benchmark_ifbench":2993,"benchmark_lcr":2840,"benchmark_terminalbench":881,"benchmark_tau2":2994,"benchmark_aider":2995,"benchmark_livecodebench_reasoning":28,"benchmark_mmlu_pro_reasoning":28,"benchmark_gpqa_reasoning":28,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":28,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":28,"benchmark_scicode_reasoning":28,"benchmark_ifbench_reasoning":28,"benchmark_lcr_reasoning":28,"benchmark_terminalbench_reasoning":28,"benchmark_tau2_reasoning":28,"benchmark_aider_reasoning":28,"released_at":2996,"tokens_per_second":2997,"time_to_first_token":2998,"time_to_first_answer_token":2998,"tokens_per_second_reasoning":28,"time_to_first_token_reasoning":28,"time_to_first_answer_token_reasoning":28,"benchmark_intelligence":996,"benchmark_coding":2341,"benchmark_math":2992,"benchmark_intelligence_reasoning":28,"benchmark_coding_reasoning":28,"benchmark_math_reasoning":28,"supports_vision":32,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":32,"supports_web_search":32,"supports_prompt_caching":32,"is_open":25,"supports_reasoning":25,"supports_tool_calls":32,"has_current_pricing":32},"377f9d36-d123-48fc-8eda-1771e733612d","openai-gpt-4.1-mini","gpt-4.1-mini","GPT-4.1 Mini","openai:gpt-4.1-mini","OpenAI GPT-4.1 Mini",1.6,2876,0.0000064000000000000006,"GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard instruction evals, 35.8% on MultiChallenge, and 84.1% on IFEval. Mini also shows strong coding ability (e.g., 31.6% on Aider’s polyglot diff benchmark) and vision understanding, making it suitable for interactive applications with tight performance constraints.",[108,107,109],[107],"2026-04-04T08:30:16.923760Z",48.3,66.4,92.5,46.3,38.3,52.9,32.4,1744651381,72.909,0.473,{"id":3000,"slug":3001,"model":3002,"model_name":3003,"provider_id":3004,"provider":3005,"provider_name":18,"input_price_per_1m_tokens":162,"output_price_per_1m_tokens":40,"response_time_ms":3006,"actual_cost_usd":610,"input_cost_per_word_usd":166,"output_cost_per_word_usd":44,"has_tiered_pricing":25,"context_length":2963,"pricing_input_cache_read":2054,"pricing_input_cache_write":28,"description":3007,"modality":105,"input_modalities":3008,"output_modalities":3009,"tokenizer":111,"instruct_type":28,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":3010,"benchmark_livecodebench":2096,"benchmark_mmlu_pro":1052,"benchmark_gpqa":2470,"benchmark_bbh":28,"benchmark_math_hard":1130,"benchmark_aime":2888,"benchmark_aime_25":2637,"benchmark_ifeval":28,"benchmark_hle":1173,"benchmark_scicode":3011,"benchmark_ifbench":3012,"benchmark_lcr":2899,"benchmark_terminalbench":199,"benchmark_tau2":2191,"benchmark_aider":3013,"benchmark_livecodebench_reasoning":28,"benchmark_mmlu_pro_reasoning":28,"benchmark_gpqa_reasoning":28,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":28,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":28,"benchmark_scicode_reasoning":28,"benchmark_ifbench_reasoning":28,"benchmark_lcr_reasoning":28,"benchmark_terminalbench_reasoning":28,"benchmark_tau2_reasoning":28,"benchmark_aider_reasoning":28,"released_at":3014,"tokens_per_second":3015,"time_to_first_token":3016,"time_to_first_answer_token":3016,"tokens_per_second_reasoning":28,"time_to_first_token_reasoning":28,"time_to_first_answer_token_reasoning":28,"benchmark_intelligence":2268,"benchmark_coding":3017,"benchmark_math":2637,"benchmark_intelligence_reasoning":28,"benchmark_coding_reasoning":28,"benchmark_math_reasoning":28,"supports_vision":32,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":32,"supports_web_search":32,"supports_prompt_caching":32,"is_open":25,"supports_reasoning":25,"supports_tool_calls":32,"has_current_pricing":32},"3451226e-b595-4158-a36c-e524bee5224b","openai-gpt-4.1-nano","gpt-4.1-nano","GPT-4.1 Nano","openai:gpt-4.1-nano","OpenAI GPT-4.1 Nano",2135,"For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million token context window, and scores 80.1% on MMLU, 50.3% on GPQA, and 9.8% on Aider polyglot coding – even higher than GPT‑4o mini. It’s ideal for tasks like classification or autocompletion.",[108,107,109],[107],"2026-04-04T08:30:16.923762Z",25.9,32,8.9,1744651369,142.15,0.404,11.2,{"id":3019,"slug":3020,"model":3021,"model_name":3022,"provider_id":3023,"provider":3024,"provider_name":160,"input_price_per_1m_tokens":40,"output_price_per_1m_tokens":3025,"response_time_ms":3026,"actual_cost_usd":3027,"input_cost_per_word_usd":44,"output_cost_per_word_usd":3028,"has_tiered_pricing":25,"context_length":26,"pricing_input_cache_read":338,"pricing_input_cache_write":28,"description":3029,"modality":528,"input_modalities":3030,"output_modalities":3031,"tokenizer":160,"instruct_type":28,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":3032,"benchmark_livecodebench":2845,"benchmark_mmlu_pro":3033,"benchmark_gpqa":3034,"benchmark_bbh":28,"benchmark_math_hard":3035,"benchmark_aime":2789,"benchmark_aime_25":28,"benchmark_ifeval":28,"benchmark_hle":199,"benchmark_scicode":996,"benchmark_ifbench":28,"benchmark_lcr":28,"benchmark_terminalbench":28,"benchmark_tau2":28,"benchmark_aider":28,"benchmark_livecodebench_reasoning":28,"benchmark_mmlu_pro_reasoning":28,"benchmark_gpqa_reasoning":28,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":28,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":28,"benchmark_scicode_reasoning":28,"benchmark_ifbench_reasoning":28,"benchmark_lcr_reasoning":28,"benchmark_terminalbench_reasoning":28,"benchmark_tau2_reasoning":28,"benchmark_aider_reasoning":28,"released_at":3036,"tokens_per_second":175,"time_to_first_token":175,"time_to_first_answer_token":175,"tokens_per_second_reasoning":28,"time_to_first_token_reasoning":28,"time_to_first_answer_token_reasoning":28,"benchmark_intelligence":643,"benchmark_coding":28,"benchmark_math":28,"benchmark_intelligence_reasoning":28,"benchmark_coding_reasoning":28,"benchmark_math_reasoning":28,"supports_vision":32,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":28,"supports_web_search":28,"supports_prompt_caching":28,"is_open":32,"supports_reasoning":25,"supports_tool_calls":32,"has_current_pricing":32},"56e501f9-1f82-4c52-845a-ac781801338a","qwen-qwen2.5-vl-32b-instruct","qwen2.5-vl-32b-instruct","Qwen2.5 VL 32B Instruct","qwen:qwen2.5-vl-32b-instruct","Qwen Qwen2.5 VL 32B Instruct",0.6,1663,0.0004,0.0000024,"Qwen2.5-VL-32B is a multimodal vision-language model fine-tuned through reinforcement learning for enhanced mathematical reasoning, structured outputs, and visual problem-solving capabilities. It excels at visual analysis tasks, including object recognition, textual interpretation within images, and precise event localization in extended videos. Qwen2.5-VL-32B demonstrates state-of-the-art performance across multimodal benchmarks such as MMMU, MathVista, and VideoMME, while maintaining strong reasoning and clarity in text-based tasks like MMLU, mathematical problem-solving, and code 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The default is \"medium\". OpenRouter also offers the model slug `openai/o3-mini-high` to default the parameter to \"high\".\n\nThe model features three adjustable reasoning effort levels and supports key developer capabilities including function calling, structured outputs, and streaming, though it does not include vision processing capabilities.\n\nThe model demonstrates significant improvements over its predecessor, with expert testers preferring its responses 56% of the time and noting a 39% reduction in major errors on complex questions. With medium reasoning effort settings, o3-mini matches the performance of the larger o1 model on challenging reasoning evaluations like AIME and GPQA, while maintaining lower latency and cost.",[107,109],[107],"2026-04-04T08:30:16.923818Z",79.1,97.3,8.7,1738351721,137.265,6.798,17.9,{"id":3299,"slug":3300,"model":3301,"model_name":3302,"provider_id":3303,"provider":3304,"provider_name":651,"input_price_per_1m_tokens":3305,"output_price_per_1m_tokens":3305,"response_time_ms":3306,"actual_cost_usd":3307,"input_cost_per_word_usd":3308,"output_cost_per_word_usd":3308,"has_tiered_pricing":25,"context_length":412,"pricing_input_cache_read":338,"pricing_input_cache_write":28,"description":3309,"modality":262,"input_modalities":3310,"output_modalities":3311,"tokenizer":160,"instruct_type":2632,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":3312,"benchmark_livecodebench":499,"benchmark_mmlu_pro":2611,"benchmark_gpqa":2085,"benchmark_bbh":28,"benchmark_math_hard":2651,"benchmark_aime":886,"benchmark_aime_25":3313,"benchmark_ifeval":28,"benchmark_hle":3314,"benchmark_scicode":3163,"benchmark_ifbench":996,"benchmark_lcr":2087,"benchmark_terminalbench":28,"benchmark_tau2":28,"benchmark_aider":28,"benchmark_livecodebench_reasoning":28,"benchmark_mmlu_pro_reasoning":28,"benchmark_gpqa_reasoning":28,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":28,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":28,"benchmark_scicode_reasoning":28,"benchmark_ifbench_reasoning":28,"benchmark_lcr_reasoning":28,"benchmark_terminalbench_reasoning":28,"benchmark_tau2_reasoning":28,"benchmark_aider_reasoning":28,"released_at":3315,"tokens_per_second":3316,"time_to_first_token":3317,"time_to_first_answer_token":3318,"tokens_per_second_reasoning":28,"time_to_first_token_reasoning":28,"time_to_first_answer_token_reasoning":28,"benchmark_intelligence":3319,"benchmark_coding":28,"benchmark_math":3313,"benchmark_intelligence_reasoning":28,"benchmark_coding_reasoning":28,"benchmark_math_reasoning":28,"supports_vision":25,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":28,"supports_web_search":28,"supports_prompt_caching":28,"is_open":25,"supports_reasoning":32,"supports_tool_calls":32,"has_current_pricing":32},"6737dbfe-77a1-4ad1-83bf-5076fe825a2d","deepseek-deepseek-r1-distill-qwen-32b","deepseek-r1-distill-qwen-32b","R1 Distill Qwen 32B","deepseek:deepseek-r1-distill-qwen-32b","Deepseek R1 Distill Qwen 32B",0.29,2130,0.00029,0.00000116,"DeepSeek R1 Distill Qwen 32B is a distilled large language model based on [Qwen 2.5 32B](https://huggingface.co/Qwen/Qwen2.5-32B), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). It outperforms OpenAI's o1-mini across various benchmarks, achieving new state-of-the-art results for dense models.\\n\\nOther benchmark results include:\\n\\n- AIME 2024 pass@1: 72.6\\n- MATH-500 pass@1: 94.3\\n- CodeForces Rating: 1691\\n\\nThe model leverages fine-tuning from DeepSeek R1's outputs, enabling competitive performance comparable to larger frontier models.",[107],[107],"2026-04-04T08:30:16.923820Z",63,5.5,1738194830,45.938,0.276,43.813,17.2,{"id":3321,"slug":3322,"model":3323,"model_name":3324,"provider_id":3325,"provider":3326,"provider_name":651,"input_price_per_1m_tokens":212,"output_price_per_1m_tokens":212,"response_time_ms":2983,"actual_cost_usd":3327,"input_cost_per_word_usd":216,"output_cost_per_word_usd":216,"has_tiered_pricing":25,"context_length":412,"pricing_input_cache_read":188,"pricing_input_cache_write":28,"description":28,"modality":28,"input_modalities":3328,"output_modalities":3329,"tokenizer":28,"instruct_type":28,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":3330,"benchmark_livecodebench":3163,"benchmark_mmlu_pro":780,"benchmark_gpqa":116,"benchmark_bbh":28,"benchmark_math_hard":3331,"benchmark_aime":749,"benchmark_aime_25":397,"benchmark_ifeval":28,"benchmark_hle":2713,"benchmark_scicode":2318,"benchmark_ifbench":859,"benchmark_lcr":1657,"benchmark_terminalbench":28,"benchmark_tau2":28,"benchmark_aider":28,"benchmark_livecodebench_reasoning":28,"benchmark_mmlu_pro_reasoning":28,"benchmark_gpqa_reasoning":28,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":28,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":28,"benchmark_scicode_reasoning":28,"benchmark_ifbench_reasoning":28,"benchmark_lcr_reasoning":28,"benchmark_terminalbench_reasoning":28,"benchmark_tau2_reasoning":28,"benchmark_aider_reasoning":28,"released_at":28,"tokens_per_second":175,"time_to_first_token":175,"time_to_first_answer_token":175,"tokens_per_second_reasoning":28,"time_to_first_token_reasoning":28,"time_to_first_answer_token_reasoning":28,"benchmark_intelligence":3332,"benchmark_coding":28,"benchmark_math":397,"benchmark_intelligence_reasoning":28,"benchmark_coding_reasoning":28,"benchmark_math_reasoning":28,"supports_vision":25,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":28,"supports_web_search":28,"supports_prompt_caching":28,"is_open":25,"supports_reasoning":32,"supports_tool_calls":32,"has_current_pricing":32},"4e2874f2-bddc-4bc5-871b-a536fecafd83","deepseek-deepseek-r1-distill-qwen-14b","deepseek-r1-distill-qwen-14b","R1 Distill Qwen 14B","deepseek:deepseek-r1-distill-qwen-14b","Deepseek R1 Distill Qwen 14B",0.00015,[],[],"2026-04-04T08:30:16.923825Z",94.9,15.8,{"id":3334,"slug":3335,"model":3336,"model_name":3337,"provider_id":3338,"provider":3339,"provider_name":651,"input_price_per_1m_tokens":3340,"output_price_per_1m_tokens":1464,"response_time_ms":3341,"actual_cost_usd":257,"input_cost_per_word_usd":3342,"output_cost_per_word_usd":1468,"has_tiered_pricing":25,"context_length":525,"pricing_input_cache_read":338,"pricing_input_cache_write":28,"description":3343,"modality":262,"input_modalities":3344,"output_modalities":3345,"tokenizer":3346,"instruct_type":2632,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":3347,"benchmark_livecodebench":3348,"benchmark_mmlu_pro":1453,"benchmark_gpqa":2037,"benchmark_bbh":28,"benchmark_math_hard":3349,"benchmark_aime":2314,"benchmark_aime_25":2658,"benchmark_ifeval":28,"benchmark_hle":2446,"benchmark_scicode":401,"benchmark_ifbench":3171,"benchmark_lcr":2789,"benchmark_terminalbench":1155,"benchmark_tau2":3350,"benchmark_aider":28,"benchmark_livecodebench_reasoning":28,"benchmark_mmlu_pro_reasoning":28,"benchmark_gpqa_reasoning":28,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":28,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":28,"benchmark_scicode_reasoning":28,"benchmark_ifbench_reasoning":28,"benchmark_lcr_reasoning":28,"benchmark_terminalbench_reasoning":28,"benchmark_tau2_reasoning":28,"benchmark_aider_reasoning":28,"released_at":3351,"tokens_per_second":3352,"time_to_first_token":3353,"time_to_first_answer_token":3354,"tokens_per_second_reasoning":28,"time_to_first_token_reasoning":28,"time_to_first_answer_token_reasoning":28,"benchmark_intelligence":3355,"benchmark_coding":225,"benchmark_math":2658,"benchmark_intelligence_reasoning":28,"benchmark_coding_reasoning":28,"benchmark_math_reasoning":28,"supports_vision":25,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":28,"supports_web_search":28,"supports_prompt_caching":28,"is_open":32,"supports_reasoning":32,"supports_tool_calls":32,"has_current_pricing":32},"ffb4c499-8b9d-4ac4-b3a3-a3de4450b353","deepseek-deepseek-r1-distill-llama-70b","deepseek-r1-distill-llama-70b","R1 Distill Llama 70B","deepseek:deepseek-r1-distill-llama-70b","Deepseek R1 Distill Llama 70B",0.7,2065,0.0000028,"DeepSeek R1 Distill Llama 70B is a distilled large language model based on [Llama-3.3-70B-Instruct](/meta-llama/llama-3.3-70b-instruct), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). The model combines advanced distillation techniques to achieve high performance across multiple benchmarks, including:\n\n- AIME 2024 pass@1: 70.0\n- MATH-500 pass@1: 94.5\n- CodeForces Rating: 1633\n\nThe model leverages fine-tuning from DeepSeek R1's outputs, enabling competitive performance comparable to larger frontier models.",[107],[107],"Llama3","2026-04-04T08:30:16.923832Z",26.6,93.5,21.9,1737663169,40.071,0.526,50.437,16,{"id":3357,"slug":3358,"model":2632,"model_name":3359,"provider_id":3360,"provider":3361,"provider_name":651,"input_price_per_1m_tokens":366,"output_price_per_1m_tokens":133,"response_time_ms":3362,"actual_cost_usd":3363,"input_cost_per_word_usd":370,"output_cost_per_word_usd":137,"has_tiered_pricing":25,"context_length":3364,"pricing_input_cache_read":28,"pricing_input_cache_write":28,"description":3365,"modality":262,"input_modalities":3366,"output_modalities":3367,"tokenizer":2258,"instruct_type":2632,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":3368,"benchmark_livecodebench":490,"benchmark_mmlu_pro":2551,"benchmark_gpqa":3369,"benchmark_bbh":28,"benchmark_math_hard":3370,"benchmark_aime":472,"benchmark_aime_25":2356,"benchmark_ifeval":28,"benchmark_hle":1452,"benchmark_scicode":3371,"benchmark_ifbench":476,"benchmark_lcr":855,"benchmark_terminalbench":2446,"benchmark_tau2":225,"benchmark_aider":3372,"benchmark_livecodebench_reasoning":28,"benchmark_mmlu_pro_reasoning":28,"benchmark_gpqa_reasoning":28,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":28,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":28,"benchmark_scicode_reasoning":28,"benchmark_ifbench_reasoning":28,"benchmark_lcr_reasoning":28,"benchmark_terminalbench_reasoning":28,"benchmark_tau2_reasoning":28,"benchmark_aider_reasoning":28,"released_at":3373,"tokens_per_second":175,"time_to_first_token":175,"time_to_first_answer_token":175,"tokens_per_second_reasoning":28,"time_to_first_token_reasoning":28,"time_to_first_answer_token_reasoning":28,"benchmark_intelligence":1501,"benchmark_coding":991,"benchmark_math":2356,"benchmark_intelligence_reasoning":28,"benchmark_coding_reasoning":28,"benchmark_math_reasoning":28,"supports_vision":25,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":28,"supports_web_search":28,"supports_prompt_caching":28,"is_open":25,"supports_reasoning":32,"supports_tool_calls":32,"has_current_pricing":32},"f2a8a356-ba23-4049-aff9-38503fdaca79","deepseek-deepseek-r1","R1","deepseek:deepseek-r1","Deepseek R1",1370,0.0012749999999999999,64000,"DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass.\n\nFully open-source model & [technical report](https://api-docs.deepseek.com/news/news250120).\n\nMIT licensed: Distill & commercialize freely!",[107],[107],"2026-04-04T08:30:16.923834Z",70.8,96.6,35.7,64,1737381095,{"id":3375,"slug":3376,"model":3377,"model_name":3378,"provider_id":3379,"provider":3380,"provider_name":651,"input_price_per_1m_tokens":3381,"output_price_per_1m_tokens":3382,"response_time_ms":3383,"actual_cost_usd":3384,"input_cost_per_word_usd":3385,"output_cost_per_word_usd":3386,"has_tiered_pricing":25,"context_length":656,"pricing_input_cache_read":2499,"pricing_input_cache_write":28,"description":3387,"modality":262,"input_modalities":3388,"output_modalities":3389,"tokenizer":2258,"instruct_type":28,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":3390,"benchmark_livecodebench":28,"benchmark_mmlu_pro":28,"benchmark_gpqa":28,"benchmark_bbh":28,"benchmark_math_hard":28,"benchmark_aime":28,"benchmark_aime_25":28,"benchmark_ifeval":28,"benchmark_hle":28,"benchmark_scicode":28,"benchmark_ifbench":28,"benchmark_lcr":28,"benchmark_terminalbench":28,"benchmark_tau2":28,"benchmark_aider":116,"benchmark_livecodebench_reasoning":28,"benchmark_mmlu_pro_reasoning":28,"benchmark_gpqa_reasoning":28,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":28,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":28,"benchmark_scicode_reasoning":28,"benchmark_ifbench_reasoning":28,"benchmark_lcr_reasoning":28,"benchmark_terminalbench_reasoning":28,"benchmark_tau2_reasoning":28,"benchmark_aider_reasoning":28,"released_at":3391,"tokens_per_second":28,"time_to_first_token":28,"time_to_first_answer_token":28,"tokens_per_second_reasoning":28,"time_to_first_token_reasoning":28,"time_to_first_answer_token_reasoning":28,"benchmark_intelligence":28,"benchmark_coding":28,"benchmark_math":28,"benchmark_intelligence_reasoning":28,"benchmark_coding_reasoning":28,"benchmark_math_reasoning":28,"supports_vision":25,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":28,"supports_web_search":28,"supports_prompt_caching":28,"is_open":32,"supports_reasoning":25,"supports_tool_calls":32,"has_current_pricing":32},"18bbec8a-17fe-4d36-81b8-6f1c6111a913","deepseek-deepseek-chat","deepseek-chat","DeepSeek V3","deepseek:deepseek-chat","Deepseek DeepSeek V3",0.014,0.028,2475,0.000021000000000000002,5.6e-8,1.12e-7,"DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations reveal that the model outperforms other open-source models and rivals leading closed-source models.\n\nFor model details, please visit [the DeepSeek-V3 repo](https://github.com/deepseek-ai/DeepSeek-V3) for more information, or see the [launch announcement](https://api-docs.deepseek.com/news/news1226).",[107],[107],"2026-04-04T08:30:16.923843Z",1735241320,{"id":3393,"slug":3394,"model":3395,"model_name":3396,"provider_id":3397,"provider":3398,"provider_name":651,"input_price_per_1m_tokens":332,"output_price_per_1m_tokens":3399,"response_time_ms":3400,"actual_cost_usd":1557,"input_cost_per_word_usd":336,"output_cost_per_word_usd":3401,"has_tiered_pricing":25,"context_length":656,"pricing_input_cache_read":40,"pricing_input_cache_write":28,"description":3402,"modality":262,"input_modalities":3403,"output_modalities":3404,"tokenizer":2258,"instruct_type":28,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":3405,"benchmark_livecodebench":1131,"benchmark_mmlu_pro":1919,"benchmark_gpqa":1897,"benchmark_bbh":28,"benchmark_math_hard":28,"benchmark_aime":28,"benchmark_aime_25":2552,"benchmark_ifeval":28,"benchmark_hle":3406,"benchmark_scicode":1981,"benchmark_ifbench":3407,"benchmark_lcr":2491,"benchmark_terminalbench":56,"benchmark_tau2":175,"benchmark_aider":28,"benchmark_livecodebench_reasoning":28,"benchmark_mmlu_pro_reasoning":28,"benchmark_gpqa_reasoning":28,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":28,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":28,"benchmark_scicode_reasoning":28,"benchmark_ifbench_reasoning":28,"benchmark_lcr_reasoning":28,"benchmark_terminalbench_reasoning":28,"benchmark_tau2_reasoning":28,"benchmark_aider_reasoning":28,"released_at":3408,"tokens_per_second":175,"time_to_first_token":175,"time_to_first_answer_token":175,"tokens_per_second_reasoning":28,"time_to_first_token_reasoning":28,"time_to_first_answer_token_reasoning":28,"benchmark_intelligence":3409,"benchmark_coding":118,"benchmark_math":2552,"benchmark_intelligence_reasoning":28,"benchmark_coding_reasoning":28,"benchmark_math_reasoning":28,"supports_vision":25,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":28,"supports_web_search":28,"supports_prompt_caching":32,"is_open":32,"supports_reasoning":32,"supports_tool_calls":32,"has_current_pricing":32},"f722eb72-0454-49fc-85d1-7bdfacc37c6d","deepseek-deepseek-v3.2-speciale","deepseek-v3.2-speciale","DeepSeek V3.2 Speciale","deepseek:deepseek-v3.2-speciale","Deepseek DeepSeek V3.2 Speciale",1.2,2067,0.0000048,"DeepSeek-V3.2-Speciale is a high-compute variant of DeepSeek-V3.2 optimized for maximum reasoning and agentic performance. It builds on DeepSeek Sparse Attention (DSA) for efficient long-context processing, then scales post-training reinforcement learning to push capability beyond the base model. Reported evaluations place Speciale ahead of GPT-5 on difficult reasoning workloads, with proficiency comparable to Gemini-3.0-Pro, while retaining strong coding and tool-use reliability. Like V3.2, it benefits from a large-scale agentic task synthesis pipeline that improves compliance and generalization in interactive environments.",[107],[107],"2026-04-04T08:30:16.923854Z",26.1,63.9,1764594837,29.4,{"id":3411,"slug":3412,"model":3413,"model_name":3414,"provider_id":3415,"provider":3416,"provider_name":651,"input_price_per_1m_tokens":957,"output_price_per_1m_tokens":3417,"response_time_ms":3418,"actual_cost_usd":2570,"input_cost_per_word_usd":961,"output_cost_per_word_usd":3419,"has_tiered_pricing":25,"context_length":656,"pricing_input_cache_read":3382,"pricing_input_cache_write":28,"description":3420,"modality":262,"input_modalities":3421,"output_modalities":3422,"tokenizer":2258,"instruct_type":28,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":3423,"benchmark_livecodebench":2491,"benchmark_mmlu_pro":941,"benchmark_gpqa":3424,"benchmark_bbh":28,"benchmark_math_hard":28,"benchmark_aime":28,"benchmark_aime_25":890,"benchmark_ifeval":28,"benchmark_hle":1674,"benchmark_scicode":358,"benchmark_ifbench":1105,"benchmark_lcr":476,"benchmark_terminalbench":2096,"benchmark_tau2":1233,"benchmark_aider":28,"benchmark_livecodebench_reasoning":2550,"benchmark_mmlu_pro_reasoning":2550,"benchmark_gpqa_reasoning":1125,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":3425,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":500,"benchmark_scicode_reasoning":2220,"benchmark_ifbench_reasoning":3167,"benchmark_lcr_reasoning":2613,"benchmark_terminalbench_reasoning":1505,"benchmark_tau2_reasoning":3426,"benchmark_aider_reasoning":28,"released_at":3427,"tokens_per_second":3428,"time_to_first_token":3429,"time_to_first_answer_token":3429,"tokens_per_second_reasoning":3430,"time_to_first_token_reasoning":3431,"time_to_first_answer_token_reasoning":3432,"benchmark_intelligence":3433,"benchmark_coding":2560,"benchmark_math":890,"benchmark_intelligence_reasoning":1961,"benchmark_coding_reasoning":1132,"benchmark_math_reasoning":3425,"supports_vision":25,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":28,"supports_web_search":28,"supports_prompt_caching":28,"is_open":32,"supports_reasoning":32,"supports_tool_calls":32,"has_current_pricing":32},"3342239a-0ccc-4e5d-891e-84d667cb75d2","deepseek-deepseek-v3.2","deepseek-v3.2","DeepSeek V3.2","deepseek:deepseek-v3.2","Deepseek DeepSeek V3.2",0.38,1035,0.00000152,"DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism that reduces training and inference cost while preserving quality in long-context scenarios. A scalable reinforcement learning post-training framework further improves reasoning, with reported performance in the GPT-5 class, and the model has demonstrated gold-medal results on the 2025 IMO and IOI. V3.2 also uses a large-scale agentic task synthesis pipeline to better integrate reasoning into tool-use settings, boosting compliance and generalization in interactive environments.\n\nUsers can control the reasoning behaviour with the `reasoning` `enabled` boolean. 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This release focuses on validating architectural optimizations for extended context lengths rather than advancing raw task accuracy, making it primarily a research-oriented model for exploring efficient transformer designs.",[107],[107],"2026-04-04T08:30:16.923861Z",37.7,1759150481,41.32,1.406,37.41,1.35,54.812,32.9,{"id":3458,"slug":3459,"model":3460,"model_name":3461,"provider_id":3462,"provider":3463,"provider_name":651,"input_price_per_1m_tokens":3464,"output_price_per_1m_tokens":3465,"response_time_ms":3466,"actual_cost_usd":703,"input_cost_per_word_usd":3467,"output_cost_per_word_usd":3468,"has_tiered_pricing":25,"context_length":656,"pricing_input_cache_read":386,"pricing_input_cache_write":28,"description":3469,"modality":262,"input_modalities":3470,"output_modalities":3471,"tokenizer":2258,"instruct_type":2259,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":3472,"benchmark_livecodebench":2994,"benchmark_mmlu_pro":842,"benchmark_gpqa":3424,"benchmark_bbh":28,"benchmark_math_hard":28,"benchmark_aime":28,"benchmark_aime_25":2658,"benchmark_ifeval":28,"benchmark_hle":3473,"benchmark_scicode":3433,"benchmark_ifbench":2360,"benchmark_lcr":1631,"benchmark_terminalbench":1630,"benchmark_tau2":993,"benchmark_aider":28,"benchmark_livecodebench_reasoning":2861,"benchmark_mmlu_pro_reasoning":2265,"benchmark_gpqa_reasoning":394,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":2267,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":2424,"benchmark_scicode_reasoning":628,"benchmark_ifbench_reasoning":3474,"benchmark_lcr_reasoning":2613,"benchmark_terminalbench_reasoning":82,"benchmark_tau2_reasoning":993,"benchmark_aider_reasoning":28,"released_at":3475,"tokens_per_second":175,"time_to_first_token":175,"time_to_first_answer_token":175,"tokens_per_second_reasoning":175,"time_to_first_token_reasoning":175,"time_to_first_answer_token_reasoning":175,"benchmark_intelligence":879,"benchmark_coding":2561,"benchmark_math":2658,"benchmark_intelligence_reasoning":2952,"benchmark_coding_reasoning":919,"benchmark_math_reasoning":2267,"supports_vision":25,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":28,"supports_web_search":28,"supports_prompt_caching":32,"is_open":32,"supports_reasoning":32,"supports_tool_calls":32,"has_current_pricing":32},"e509f593-273b-4b8b-8dbb-9b5f56732663","deepseek-deepseek-v3.1-terminus","deepseek-v3.1-terminus","DeepSeek V3.1 Terminus","deepseek:deepseek-v3.1-terminus","Deepseek DeepSeek V3.1 Terminus",0.21,0.79,1514,8.4e-7,0.0000031600000000000002,"DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's performance in coding and search agents. It is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes. It extends the DeepSeek-V3 base with a two-phase long-context training process, reaching up to 128K tokens, and uses FP8 microscaling for efficient inference. Users can control the reasoning behaviour with the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config)\n\nThe model improves tool use, code generation, and reasoning efficiency, achieving performance comparable to DeepSeek-R1 on difficult benchmarks while responding more quickly. It supports structured tool calling, code agents, and search agents, making it suitable for research, coding, and agentic workflows. 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The o1 model series is trained with large-scale reinforcement learning to reason using chain of thought. \n\nThe o1 models are optimized for math, science, programming, and other STEM-related tasks. They consistently exhibit PhD-level accuracy on benchmarks in physics, chemistry, and biology. Learn more in the [launch announcement](https://openai.com/o1).\n",[107,108,109],[107],"2026-04-04T08:30:16.923870Z",84.1,7.7,35.8,62.6,1734459999,107.602,20.228,20.5,{"id":3512,"slug":3513,"model":3514,"model_name":3514,"provider_id":3515,"provider":3516,"provider_name":18,"input_price_per_1m_tokens":133,"output_price_per_1m_tokens":2118,"response_time_ms":3517,"actual_cost_usd":2119,"input_cost_per_word_usd":137,"output_cost_per_word_usd":2120,"has_tiered_pricing":25,"context_length":1470,"pricing_input_cache_read":255,"pricing_input_cache_write":28,"description":3518,"modality":105,"input_modalities":3519,"output_modalities":3520,"tokenizer":111,"instruct_type":28,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":3521,"benchmark_livecodebench":884,"benchmark_mmlu_pro":1744,"benchmark_gpqa":3522,"benchmark_bbh":28,"benchmark_math_hard":3523,"benchmark_aime":1685,"benchmark_aime_25":3106,"benchmark_ifeval":28,"benchmark_hle":688,"benchmark_scicode":124,"benchmark_ifbench":2187,"benchmark_lcr":3524,"benchmark_terminalbench":993,"benchmark_tau2":2863,"benchmark_aider":2060,"benchmark_livecodebench_reasoning":28,"benchmark_mmlu_pro_reasoning":28,"benchmark_gpqa_reasoning":28,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":28,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":28,"benchmark_scicode_reasoning":28,"benchmark_ifbench_reasoning":28,"benchmark_lcr_reasoning":28,"benchmark_terminalbench_reasoning":28,"benchmark_tau2_reasoning":28,"benchmark_aider_reasoning":28,"released_at":3525,"tokens_per_second":3526,"time_to_first_token":3527,"time_to_first_answer_token":3527,"tokens_per_second_reasoning":28,"time_to_first_token_reasoning":28,"time_to_first_answer_token_reasoning":28,"benchmark_intelligence":3528,"benchmark_coding":3528,"benchmark_math":3106,"benchmark_intelligence_reasoning":28,"benchmark_coding_reasoning":28,"benchmark_math_reasoning":28,"supports_vision":32,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":32,"supports_web_search":32,"supports_prompt_caching":32,"is_open":25,"supports_reasoning":32,"supports_tool_calls":32,"has_current_pricing":32},"d58ef503-cd4d-4f92-b991-f863fdc9640d","openai-o3","o3","openai:o3","OpenAI o3",1711,"o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following. Use it to think through multi-step problems that involve analysis across text, code, and images. 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In terms of overall performance, this model is second only to Qwen3.5-397B-A17B. 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Not only enhancing coding capabilities but also maintaining its strengths in mathematics and general competencies.\n\nTo read more about its evaluation results, check out [Qwen 2.5 Coder's blog](https://qwenlm.github.io/blog/qwen2.5-coder-family/).",[107],[107],"chatml","2026-04-04T08:30:16.923886Z",63.5,76.7,72.9,1731368400,{"id":3568,"slug":3569,"model":3570,"model_name":3571,"provider_id":3572,"provider":3573,"provider_name":1114,"input_price_per_1m_tokens":1464,"output_price_per_1m_tokens":1465,"response_time_ms":3574,"actual_cost_usd":1467,"input_cost_per_word_usd":1468,"output_cost_per_word_usd":1469,"has_tiered_pricing":25,"context_length":1470,"pricing_input_cache_read":1579,"pricing_input_cache_write":180,"description":3575,"modality":528,"input_modalities":3576,"output_modalities":3577,"tokenizer":1123,"instruct_type":28,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":3578,"benchmark_livecodebench":3579,"benchmark_mmlu_pro":3580,"benchmark_gpqa":3581,"benchmark_bbh":28,"benchmark_math_hard":3582,"benchmark_aime":3583,"benchmark_aime_25":28,"benchmark_ifeval":28,"benchmark_hle":1054,"benchmark_scicode":1985,"benchmark_ifbench":2183,"benchmark_lcr":87,"benchmark_terminalbench":626,"benchmark_tau2":861,"benchmark_aider":28,"benchmark_livecodebench_reasoning":28,"benchmark_mmlu_pro_reasoning":28,"benchmark_gpqa_reasoning":28,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":28,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":28,"benchmark_scicode_reasoning":28,"benchmark_ifbench_reasoning":28,"benchmark_lcr_reasoning":28,"benchmark_terminalbench_reasoning":28,"benchmark_tau2_reasoning":28,"benchmark_aider_reasoning":28,"released_at":3584,"tokens_per_second":175,"time_to_first_token":175,"time_to_first_answer_token":175,"tokens_per_second_reasoning":28,"time_to_first_token_reasoning":28,"time_to_first_answer_token_reasoning":28,"benchmark_intelligence":3585,"benchmark_coding":274,"benchmark_math":28,"benchmark_intelligence_reasoning":28,"benchmark_coding_reasoning":28,"benchmark_math_reasoning":28,"supports_vision":32,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":28,"supports_web_search":32,"supports_prompt_caching":32,"is_open":25,"supports_reasoning":25,"supports_tool_calls":32,"has_current_pricing":32},"9236791b-0d39-46cb-ad9d-0f360bb2d151","anthropic-claude-3.5-haiku","claude-3.5-haiku","Claude 3.5 Haiku","anthropic:claude-3.5-haiku","Anthropic Claude 3.5 Haiku",1250,"Claude 3.5 Haiku features offers enhanced capabilities in speed, coding accuracy, and tool use. 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Qwen2.5 brings the following improvements upon Qwen2:\n\n- Significantly more knowledge and has greatly improved capabilities in coding and mathematics, thanks to our specialized expert models in these domains.\n\n- Significant improvements in instruction following, generating long texts (over 8K tokens), understanding structured data (e.g, tables), and generating structured outputs especially JSON. More resilient to the diversity of system prompts, enhancing role-play implementation and condition-setting for chatbots.\n\n- Long-context Support up to 128K tokens and can generate up to 8K tokens.\n\n- Multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.\n\nUsage of this model is subject to [Tongyi Qianwen LICENSE AGREEMENT](https://huggingface.co/Qwen/Qwen1.5-110B-Chat/blob/main/LICENSE).",[107],[107],"2026-04-04T08:30:16.923905Z",36.52,5.48,34.89,75.85,1729036800,{"id":3618,"slug":3619,"model":3620,"model_name":3621,"provider_id":3622,"provider":3623,"provider_name":160,"input_price_per_1m_tokens":3624,"output_price_per_1m_tokens":3625,"response_time_ms":3626,"actual_cost_usd":3627,"input_cost_per_word_usd":3628,"output_cost_per_word_usd":3629,"has_tiered_pricing":25,"context_length":525,"pricing_input_cache_read":338,"pricing_input_cache_write":28,"description":3630,"modality":528,"input_modalities":3631,"output_modalities":3632,"tokenizer":160,"instruct_type":28,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":3633,"benchmark_livecodebench":3634,"benchmark_mmlu_pro":3291,"benchmark_gpqa":3198,"benchmark_bbh":28,"benchmark_math_hard":28,"benchmark_aime":28,"benchmark_aime_25":472,"benchmark_ifeval":28,"benchmark_hle":2263,"benchmark_scicode":3635,"benchmark_ifbench":357,"benchmark_lcr":2490,"benchmark_terminalbench":2865,"benchmark_tau2":3636,"benchmark_aider":28,"benchmark_livecodebench_reasoning":28,"benchmark_mmlu_pro_reasoning":28,"benchmark_gpqa_reasoning":28,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":28,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":28,"benchmark_scicode_reasoning":28,"benchmark_ifbench_reasoning":28,"benchmark_lcr_reasoning":28,"benchmark_terminalbench_reasoning":28,"benchmark_tau2_reasoning":28,"benchmark_aider_reasoning":28,"released_at":3637,"tokens_per_second":3638,"time_to_first_token":2895,"time_to_first_answer_token":2895,"tokens_per_second_reasoning":28,"time_to_first_token_reasoning":28,"time_to_first_answer_token_reasoning":28,"benchmark_intelligence":3319,"benchmark_coding":1165,"benchmark_math":472,"benchmark_intelligence_reasoning":28,"benchmark_coding_reasoning":28,"benchmark_math_reasoning":28,"supports_vision":32,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":28,"supports_web_search":28,"supports_prompt_caching":28,"is_open":25,"supports_reasoning":25,"supports_tool_calls":32,"has_current_pricing":32},"7d9a95b9-e031-493d-bfdd-98e1852609d6","qwen-qwen3-vl-32b-instruct","qwen3-vl-32b-instruct","Qwen3 VL 32B Instruct","qwen:qwen3-vl-32b-instruct","Qwen Qwen3 VL 32B Instruct",0.104,0.416,2333,0.00026000000000000003,4.1599999999999997e-7,0.0000016639999999999999,"Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. With 32 billion parameters, it combines deep visual perception with advanced text comprehension, enabling fine-grained spatial reasoning, document and scene analysis, and long-horizon video understanding.Robust OCR in 32 languages, and enhanced multimodal fusion through Interleaved-MRoPE and DeepStack architectures. 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Its Thinking variant enhances reasoning in STEM, math, and complex tasks. It excels in perception of real-world/synthetic categories, 2D/3D spatial grounding, and long-form visual comprehension, achieving competitive multimodal benchmark results. For agentic use, it handles multi-image multi-turn instructions, video timeline alignments, GUI automation, and visual coding from sketches to debugged UI. 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The Instruct model targets general vision-language use (VQA, document parsing, chart/table extraction, multilingual OCR). The series emphasizes robust perception (recognition of diverse real-world and synthetic categories), spatial understanding (2D/3D grounding), and long-form visual comprehension, with competitive results on public multimodal benchmarks for both perception and reasoning.\n\nBeyond analysis, Qwen3-VL supports agentic interaction and tool use: it can follow complex instructions over multi-image, multi-turn dialogues; align text to video timelines for precise temporal queries; and operate GUI elements for automation tasks. The models also enable visual coding workflows—turning sketches or mockups into code and assisting with UI debugging—while maintaining strong text-only performance comparable to the flagship Qwen3 language models. This makes Qwen3-VL suitable for production scenarios spanning document AI, multilingual OCR, software/UI assistance, spatial/embodied tasks, and research on vision-language agents.",[107,108],[107],"2026-04-04T08:30:16.923941Z",59.4,1758668687,57.514,1.054,20.8,{"id":3757,"slug":3758,"model":3759,"model_name":3760,"provider_id":3761,"provider":3762,"provider_name":160,"input_price_per_1m_tokens":958,"output_price_per_1m_tokens":1173,"response_time_ms":3763,"actual_cost_usd":1175,"input_cost_per_word_usd":962,"output_cost_per_word_usd":1176,"has_tiered_pricing":25,"context_length":337,"pricing_input_cache_read":3764,"pricing_input_cache_write":28,"description":3765,"modality":262,"input_modalities":3766,"output_modalities":3767,"tokenizer":615,"instruct_type":28,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":3768,"benchmark_livecodebench":876,"benchmark_mmlu_pro":2353,"benchmark_gpqa":3700,"benchmark_bbh":28,"benchmark_math_hard":28,"benchmark_aime":28,"benchmark_aime_25":19,"benchmark_ifeval":28,"benchmark_hle":1452,"benchmark_scicode":2182,"benchmark_ifbench":880,"benchmark_lcr":1530,"benchmark_terminalbench":2355,"benchmark_tau2":53,"benchmark_aider":28,"benchmark_livecodebench_reasoning":28,"benchmark_mmlu_pro_reasoning":28,"benchmark_gpqa_reasoning":28,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":28,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":28,"benchmark_scicode_reasoning":28,"benchmark_ifbench_reasoning":28,"benchmark_lcr_reasoning":28,"benchmark_terminalbench_reasoning":28,"benchmark_tau2_reasoning":28,"benchmark_aider_reasoning":28,"released_at":3769,"tokens_per_second":3770,"time_to_first_token":3771,"time_to_first_answer_token":3771,"tokens_per_second_reasoning":28,"time_to_first_token_reasoning":28,"time_to_first_answer_token_reasoning":28,"benchmark_intelligence":3406,"benchmark_coding":3772,"benchmark_math":19,"benchmark_intelligence_reasoning":28,"benchmark_coding_reasoning":28,"benchmark_math_reasoning":28,"supports_vision":25,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":28,"supports_web_search":28,"supports_prompt_caching":32,"is_open":25,"supports_reasoning":25,"supports_tool_calls":32,"has_current_pricing":32},"6527c4b8-0b63-4794-b99f-920da57f1a50","qwen-qwen3-max","qwen3-max","Qwen3 Max","qwen:qwen3-max","Qwen Qwen3 Max",2751,0.156,"Qwen3-Max is an updated release built on the Qwen3 series, offering major improvements in reasoning, instruction following, multilingual support, and long-tail knowledge coverage compared to the January 2025 version. It delivers higher accuracy in math, coding, logic, and science tasks, follows complex instructions in Chinese and English more reliably, reduces hallucinations, and produces higher-quality responses for open-ended Q&A, writing, and conversation. The model supports over 100 languages with stronger translation and commonsense reasoning, and is optimized for retrieval-augmented generation (RAG) and tool calling, though it does not include a dedicated “thinking” mode.",[107],[107],"2026-04-04T08:30:16.923944Z",1758662808,39.287,1.736,25.5,{"id":3774,"slug":3775,"model":3776,"model_name":3777,"provider_id":3778,"provider":3779,"provider_name":160,"input_price_per_1m_tokens":3780,"output_price_per_1m_tokens":3781,"response_time_ms":3782,"actual_cost_usd":3783,"input_cost_per_word_usd":3784,"output_cost_per_word_usd":3785,"has_tiered_pricing":25,"context_length":963,"pricing_input_cache_read":386,"pricing_input_cache_write":28,"description":3786,"modality":262,"input_modalities":3787,"output_modalities":3788,"tokenizer":615,"instruct_type":28,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":3789,"benchmark_livecodebench":28,"benchmark_mmlu_pro":28,"benchmark_gpqa":28,"benchmark_bbh":28,"benchmark_math_hard":28,"benchmark_aime":28,"benchmark_aime_25":28,"benchmark_ifeval":28,"benchmark_hle":28,"benchmark_scicode":28,"benchmark_ifbench":28,"benchmark_lcr":28,"benchmark_terminalbench":28,"benchmark_tau2":28,"benchmark_aider":28,"benchmark_livecodebench_reasoning":28,"benchmark_mmlu_pro_reasoning":28,"benchmark_gpqa_reasoning":28,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":28,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":28,"benchmark_scicode_reasoning":28,"benchmark_ifbench_reasoning":28,"benchmark_lcr_reasoning":28,"benchmark_terminalbench_reasoning":28,"benchmark_tau2_reasoning":28,"benchmark_aider_reasoning":28,"released_at":3790,"tokens_per_second":28,"time_to_first_token":28,"time_to_first_answer_token":28,"tokens_per_second_reasoning":28,"time_to_first_token_reasoning":28,"time_to_first_answer_token_reasoning":28,"benchmark_intelligence":28,"benchmark_coding":28,"benchmark_math":28,"benchmark_intelligence_reasoning":28,"benchmark_coding_reasoning":28,"benchmark_math_reasoning":28,"supports_vision":25,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":28,"supports_web_search":28,"supports_prompt_caching":32,"is_open":32,"supports_reasoning":32,"supports_tool_calls":32,"has_current_pricing":32},"a81946d9-92d2-43c3-a316-3b8b077c5a02","qwen-qwen3-coder-plus","qwen3-coder-plus","Qwen3 Coder Plus","qwen:qwen3-coder-plus","Qwen Qwen3 Coder Plus",0.65,3.25,2994,0.00195,0.0000026,0.000013,"Qwen3 Coder Plus is Alibaba's proprietary version of the Open Source Qwen3 Coder 480B A35B. It is a powerful coding agent model specializing in autonomous programming via tool calling and environment interaction, combining coding proficiency with versatile general-purpose abilities.",[107],[107],"2026-04-04T08:30:16.923946Z",1758662707,{"id":3792,"slug":3793,"model":3794,"model_name":3795,"provider_id":3796,"provider":3797,"provider_name":160,"input_price_per_1m_tokens":1887,"output_price_per_1m_tokens":2197,"response_time_ms":3798,"actual_cost_usd":3799,"input_cost_per_word_usd":1890,"output_cost_per_word_usd":3800,"has_tiered_pricing":25,"context_length":963,"pricing_input_cache_read":737,"pricing_input_cache_write":28,"description":3801,"modality":262,"input_modalities":3802,"output_modalities":3803,"tokenizer":615,"instruct_type":28,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":3804,"benchmark_livecodebench":28,"benchmark_mmlu_pro":28,"benchmark_gpqa":28,"benchmark_bbh":28,"benchmark_math_hard":28,"benchmark_aime":28,"benchmark_aime_25":28,"benchmark_ifeval":28,"benchmark_hle":28,"benchmark_scicode":28,"benchmark_ifbench":28,"benchmark_lcr":28,"benchmark_terminalbench":28,"benchmark_tau2":28,"benchmark_aider":28,"benchmark_livecodebench_reasoning":28,"benchmark_mmlu_pro_reasoning":28,"benchmark_gpqa_reasoning":28,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":28,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":28,"benchmark_scicode_reasoning":28,"benchmark_ifbench_reasoning":28,"benchmark_lcr_reasoning":28,"benchmark_terminalbench_reasoning":28,"benchmark_tau2_reasoning":28,"benchmark_aider_reasoning":28,"released_at":3805,"tokens_per_second":28,"time_to_first_token":28,"time_to_first_answer_token":28,"tokens_per_second_reasoning":28,"time_to_first_token_reasoning":28,"time_to_first_answer_token_reasoning":28,"benchmark_intelligence":28,"benchmark_coding":28,"benchmark_math":28,"benchmark_intelligence_reasoning":28,"benchmark_coding_reasoning":28,"benchmark_math_reasoning":28,"supports_vision":25,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":28,"supports_web_search":28,"supports_prompt_caching":32,"is_open":25,"supports_reasoning":32,"supports_tool_calls":32,"has_current_pricing":32},"05a505a2-ec02-4c7e-8b3f-2c3fc2ee17ef","qwen-qwen3-coder-flash","qwen3-coder-flash","Qwen3 Coder Flash","qwen:qwen3-coder-flash","Qwen Qwen3 Coder Flash",1305,0.000585,0.0000039,"Qwen3 Coder Flash is Alibaba's fast and cost efficient version of their proprietary Qwen3 Coder Plus. It is a powerful coding agent model specializing in autonomous programming via tool calling and environment interaction, combining coding proficiency with versatile general-purpose abilities.",[107],[107],"2026-04-04T08:30:16.923948Z",1758115536,{"id":3807,"slug":3808,"model":3809,"model_name":3810,"provider_id":3811,"provider":3812,"provider_name":160,"input_price_per_1m_tokens":3813,"output_price_per_1m_tokens":457,"response_time_ms":3814,"actual_cost_usd":3815,"input_cost_per_word_usd":3816,"output_cost_per_word_usd":460,"has_tiered_pricing":25,"context_length":26,"pricing_input_cache_read":212,"pricing_input_cache_write":28,"description":3817,"modality":262,"input_modalities":3818,"output_modalities":3819,"tokenizer":615,"instruct_type":28,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":3820,"benchmark_livecodebench":28,"benchmark_mmlu_pro":28,"benchmark_gpqa":28,"benchmark_bbh":28,"benchmark_math_hard":28,"benchmark_aime":28,"benchmark_aime_25":28,"benchmark_ifeval":28,"benchmark_hle":28,"benchmark_scicode":28,"benchmark_ifbench":28,"benchmark_lcr":28,"benchmark_terminalbench":28,"benchmark_tau2":28,"benchmark_aider":28,"benchmark_livecodebench_reasoning":28,"benchmark_mmlu_pro_reasoning":28,"benchmark_gpqa_reasoning":28,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":28,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":28,"benchmark_scicode_reasoning":28,"benchmark_ifbench_reasoning":28,"benchmark_lcr_reasoning":28,"benchmark_terminalbench_reasoning":28,"benchmark_tau2_reasoning":28,"benchmark_aider_reasoning":28,"released_at":3821,"tokens_per_second":28,"time_to_first_token":28,"time_to_first_answer_token":28,"tokens_per_second_reasoning":28,"time_to_first_token_reasoning":28,"time_to_first_answer_token_reasoning":28,"benchmark_intelligence":28,"benchmark_coding":28,"benchmark_math":28,"benchmark_intelligence_reasoning":28,"benchmark_coding_reasoning":28,"benchmark_math_reasoning":28,"supports_vision":25,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":28,"supports_web_search":28,"supports_prompt_caching":28,"is_open":32,"supports_reasoning":32,"supports_tool_calls":32,"has_current_pricing":32},"b2041597-df03-4fc4-befe-286986b4f994","qwen-qwen3-next-80b-a3b-thinking","qwen3-next-80b-a3b-thinking","Qwen3 Next 80B A3B Thinking","qwen:qwen3-next-80b-a3b-thinking","Qwen Qwen3 Next 80B A3B Thinking",0.0975,1508,0.00019874999999999998,3.9e-7,"Qwen3-Next-80B-A3B-Thinking is a reasoning-first chat model in the Qwen3-Next line that outputs structured “thinking” traces by default. It’s designed for hard multi-step problems; math proofs, code synthesis/debugging, logic, and agentic planning, and reports strong results across knowledge, reasoning, coding, alignment, and multilingual evaluations. Compared with prior Qwen3 variants, it emphasizes stability under long chains of thought and efficient scaling during inference, and it is tuned to follow complex instructions while reducing repetitive or off-task behavior.\n\nThe model is suitable for agent frameworks and tool use (function calling), retrieval-heavy workflows, and standardized benchmarking where step-by-step solutions are required. It supports long, detailed completions and leverages throughput-oriented techniques (e.g., multi-token prediction) for faster generation. Note that it operates in thinking-only mode.",[107],[107],"2026-04-04T08:30:16.923950Z",1757612284,{"id":3823,"slug":3824,"model":3825,"model_name":3826,"provider_id":3827,"provider":3828,"provider_name":160,"input_price_per_1m_tokens":1442,"output_price_per_1m_tokens":1493,"response_time_ms":3829,"actual_cost_usd":3830,"input_cost_per_word_usd":1445,"output_cost_per_word_usd":1496,"has_tiered_pricing":25,"context_length":412,"pricing_input_cache_read":338,"pricing_input_cache_write":28,"description":3831,"modality":262,"input_modalities":3832,"output_modalities":3833,"tokenizer":160,"instruct_type":3561,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":3834,"benchmark_livecodebench":3171,"benchmark_mmlu_pro":2655,"benchmark_gpqa":3835,"benchmark_bbh":28,"benchmark_math_hard":2594,"benchmark_aime":3355,"benchmark_aime_25":283,"benchmark_ifeval":28,"benchmark_hle":51,"benchmark_scicode":3170,"benchmark_ifbench":3836,"benchmark_lcr":3837,"benchmark_terminalbench":69,"benchmark_tau2":2425,"benchmark_aider":2395,"benchmark_livecodebench_reasoning":28,"benchmark_mmlu_pro_reasoning":28,"benchmark_gpqa_reasoning":28,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":28,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":28,"benchmark_scicode_reasoning":28,"benchmark_ifbench_reasoning":28,"benchmark_lcr_reasoning":28,"benchmark_terminalbench_reasoning":28,"benchmark_tau2_reasoning":28,"benchmark_aider_reasoning":28,"released_at":3838,"tokens_per_second":3839,"time_to_first_token":3070,"time_to_first_answer_token":3070,"tokens_per_second_reasoning":28,"time_to_first_token_reasoning":28,"time_to_first_answer_token_reasoning":28,"benchmark_intelligence":1165,"benchmark_coding":1746,"benchmark_math":283,"benchmark_intelligence_reasoning":28,"benchmark_coding_reasoning":28,"benchmark_math_reasoning":28,"supports_vision":25,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":28,"supports_web_search":28,"supports_prompt_caching":28,"is_open":32,"supports_reasoning":25,"supports_tool_calls":32,"has_current_pricing":32},"945dfadf-da24-4062-8a33-db8ea9ee2020","qwen-qwen-2.5-72b-instruct","qwen-2.5-72b-instruct","Qwen2.5 72B Instruct","qwen:qwen-2.5-72b-instruct","Qwen Qwen2.5 72B Instruct",1470,0.000255,"Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2:\n\n- Significantly more knowledge and has greatly improved capabilities in coding and mathematics, thanks to our specialized expert models in these domains.\n\n- Significant improvements in instruction following, generating long texts (over 8K tokens), understanding structured data (e.g, tables), and generating structured outputs especially JSON. More resilient to the diversity of system prompts, enhancing role-play implementation and condition-setting for chatbots.\n\n- Long-context Support up to 128K tokens and can generate up to 8K tokens.\n\n- Multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.\n\nUsage of this model is subject to [Tongyi Qianwen LICENSE AGREEMENT](https://huggingface.co/Qwen/Qwen1.5-110B-Chat/blob/main/LICENSE).",[107],[107],"2026-04-04T08:30:16.923953Z",49.1,36.9,20.3,1726704000,55.705,{"id":3841,"slug":3842,"model":3843,"model_name":3844,"provider_id":3845,"provider":3846,"provider_name":318,"input_price_per_1m_tokens":934,"output_price_per_1m_tokens":935,"response_time_ms":3847,"actual_cost_usd":819,"input_cost_per_word_usd":3848,"output_cost_per_word_usd":3849,"has_tiered_pricing":25,"context_length":3850,"pricing_input_cache_read":28,"pricing_input_cache_write":28,"description":28,"modality":28,"input_modalities":3851,"output_modalities":3852,"tokenizer":28,"instruct_type":28,"pricing_request":28,"pricing_image":28,"pricing_web_search":28,"pricing_internal_reasoning":28,"top_provider_context_length":28,"top_provider_max_completion_tokens":28,"top_provider_is_moderated":28,"updated_at":3853,"benchmark_livecodebench":3854,"benchmark_mmlu_pro":1189,"benchmark_gpqa":2274,"benchmark_bbh":28,"benchmark_math_hard":2421,"benchmark_aime":3340,"benchmark_aime_25":28,"benchmark_ifeval":28,"benchmark_hle":878,"benchmark_scicode":997,"benchmark_ifbench":28,"benchmark_lcr":28,"benchmark_terminalbench":28,"benchmark_tau2":28,"benchmark_aider":28,"benchmark_livecodebench_reasoning":28,"benchmark_mmlu_pro_reasoning":28,"benchmark_gpqa_reasoning":28,"benchmark_bbh_reasoning":28,"benchmark_math_hard_reasoning":28,"benchmark_aime_reasoning":28,"benchmark_aime_25_reasoning":28,"benchmark_ifeval_reasoning":28,"benchmark_hle_reasoning":28,"benchmark_scicode_reasoning":28,"benchmark_ifbench_reasoning":28,"benchmark_lcr_reasoning":28,"benchmark_terminalbench_reasoning":28,"benchmark_tau2_reasoning":28,"benchmark_aider_reasoning":28,"released_at":28,"tokens_per_second":175,"time_to_first_token":175,"time_to_first_answer_token":175,"tokens_per_second_reasoning":28,"time_to_first_token_reasoning":28,"time_to_first_answer_token_reasoning":28,"benchmark_intelligence":3855,"benchmark_coding":28,"benchmark_math":28,"benchmark_intelligence_reasoning":28,"benchmark_coding_reasoning":28,"benchmark_math_reasoning":28,"supports_vision":32,"supports_audio_input":28,"supports_audio_output":28,"supports_pdf_input":28,"supports_web_search":28,"supports_prompt_caching":28,"is_open":25,"supports_reasoning":25,"supports_tool_calls":32,"has_current_pricing":32},"a649b14b-ee19-40a4-93de-a89913b590ff","google-gemini-1.0-pro","gemini-1.0-pro","Gemini 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