Moonshotai Kimi-K2-0905 Pricing (Updated 2025)
This page tracks Moonshotai Kimi-K2-0905 pricing and compares it with 120 competitor models. Prices are shown per 1M tokens (cost per token) with clear examples so you can estimate spend quickly.
Current Prices (per 1,000 tokens)
Provider | Model | Input ($/1K tokens) | Output ($/1K tokens) | Context Length |
|---|---|---|---|---|
MS Moonshotai | kimi-k2-0905:exacto | $0.000600 | $0.002500 | 262,144 |
A Anthropic | claude-3-haiku | $0.000250 | $0.001250 | 200,000 |
A Anthropic | claude-3-opus | $0.015000 | $0.075000 | 200,000 |
A Anthropic | claude-3.5-haiku | $0.000800 | $0.004000 | 200,000 |
A Anthropic | claude-3.5-sonnet | $0.003000 | $0.015000 | 200,000 |
A Anthropic | claude-3.7-sonnet | $0.003000 | $0.015000 | 200,000 |
A Anthropic | claude-3.7-sonnet:thinking | $0.003000 | $0.015000 | 200,000 |
A Anthropic | claude-haiku-4.5 | $0.001000 | $0.005000 | 200,000 |
A Anthropic | claude-opus-4 | $0.015000 | $0.075000 | 200,000 |
A Anthropic | claude-opus-4.1 | $0.015000 | $0.075000 | 200,000 |
A Anthropic | claude-sonnet-4 | $0.003000 | $0.015000 | 1,000,000 |
A Anthropic | claude-sonnet-4.5 | $0.003000 | $0.015000 | 1,000,000 |
DS Deepseek | deepseek-chat | $0.000300 | $0.000850 | 163,840 |
DS Deepseek | deepseek-chat-v3-0324 | $0.000240 | $0.000840 | 163,840 |
DS Deepseek | deepseek-chat-v3.1 | $0.000200 | $0.000800 | 163,840 |
DS Deepseek | deepseek-prover-v2 | $0.000500 | $0.002180 | 163,840 |
DS Deepseek | deepseek-r1 | $0.000300 | $0.001200 | 163,840 |
DS Deepseek | deepseek-r1-0528 | $0.000400 | $0.001750 | 163,840 |
DS Deepseek | deepseek-r1-0528-qwen3-8b | $0.000030 | $0.000110 | 32,768 |
M Deepseek | deepseek-r1-distill-llama-70b | $0.000030 | $0.000130 | 131,072 |
DS Deepseek | deepseek-r1-distill-qwen-14b | $0.000150 | $0.000150 | 32,768 |
DS Deepseek | deepseek-r1-distill-qwen-32b | $0.000270 | $0.000270 | 131,072 |
DS Deepseek | deepseek-v3.1-terminus | $0.000230 | $0.000900 | 163,840 |
DS Deepseek | deepseek-v3.1-terminus:exacto | $0.000270 | $0.001000 | 131,072 |
DS Deepseek | deepseek-v3.2-exp | $0.000270 | $0.000400 | 163,840 |
G Google | gemini-2.0-flash-001 | $0.000100 | $0.000400 | 1,048,576 |
G Google | gemini-2.0-flash-lite-001 | $0.000075 | $0.000300 | 1,048,576 |
G Google | gemini-2.5-flash | $0.000300 | $0.002500 | 1,048,576 |
G Google | gemini-2.5-flash-image | $0.000300 | $0.002500 | 32,768 |
G Google | gemini-2.5-flash-image-preview | $0.000300 | $0.002500 | 32,768 |
G Google | gemini-2.5-flash-lite | $0.000100 | $0.000400 | 1,048,576 |
G Google | gemini-2.5-pro | $0.001250 | $0.010000 | 1,048,576 |
G Google | gemini-2.5-pro-preview | $0.001250 | $0.010000 | 1,048,576 |
G Google | gemma-2-27b-it | $0.000650 | $0.000650 | 8,192 |
G Google | gemma-2-9b-it | $0.000010 | $0.000030 | 8,192 |
G Google | gemma-3-12b-it | $0.000030 | $0.000100 | 131,072 |
G Google | gemma-3-27b-it | $0.000090 | $0.000160 | 131,072 |
G Google | gemma-3-4b-it | $0.000017 | $0.000068 | 96,000 |
G Google | gemma-3n-e4b-it | $0.000020 | $0.000040 | 32,768 |
MS Moonshotai | kimi-dev-72b | $0.000290 | $0.001150 | 131,072 |
MS Moonshotai | kimi-k2 | $0.000140 | $0.002490 | 63,000 |
MS Moonshotai | kimi-k2-0905 | $0.000390 | $0.001900 | 262,144 |
O OpenAI | chatgpt-4o-latest | $0.005000 | $0.015000 | 128,000 |
O OpenAI | codex-mini | $0.001500 | $0.006000 | 200,000 |
O OpenAI | gpt-3.5-turbo | $0.000500 | $0.001500 | 16,385 |
O OpenAI | gpt-3.5-turbo-0613 | $0.001000 | $0.002000 | 4,095 |
O OpenAI | gpt-3.5-turbo-16k | $0.003000 | $0.004000 | 16,385 |
O OpenAI | gpt-3.5-turbo-instruct | $0.001500 | $0.002000 | 4,095 |
O OpenAI | gpt-4 | $0.030000 | $0.060000 | 8,191 |
O OpenAI | gpt-4-0314 | $0.030000 | $0.060000 | 8,191 |
O OpenAI | gpt-4-1106-preview | $0.010000 | $0.030000 | 128,000 |
O OpenAI | gpt-4-turbo | $0.010000 | $0.030000 | 128,000 |
O OpenAI | gpt-4-turbo-preview | $0.010000 | $0.030000 | 128,000 |
O OpenAI | gpt-4.1 | $0.002000 | $0.008000 | 1,047,576 |
O OpenAI | gpt-4.1-mini | $0.000400 | $0.001600 | 1,047,576 |
O OpenAI | gpt-4.1-nano | $0.000100 | $0.000400 | 1,047,576 |
O OpenAI | gpt-4o | $0.002500 | $0.010000 | 128,000 |
O OpenAI | gpt-4o-audio-preview | $0.002500 | $0.010000 | 128,000 |
O OpenAI | gpt-4o-mini | $0.000150 | $0.000600 | 128,000 |
O OpenAI | gpt-4o-mini-search-preview | $0.000150 | $0.000600 | 128,000 |
O OpenAI | gpt-4o-search-preview | $0.002500 | $0.010000 | 128,000 |
O OpenAI | gpt-4o:extended | $0.006000 | $0.018000 | 128,000 |
O OpenAI | gpt-5 | $0.001250 | $0.010000 | 400,000 |
O OpenAI | gpt-5-chat | $0.001250 | $0.010000 | 128,000 |
O OpenAI | gpt-5-codex | $0.001250 | $0.010000 | 400,000 |
O OpenAI | gpt-5-image | $0.010000 | $0.010000 | 400,000 |
O OpenAI | gpt-5-image-mini | $0.002500 | $0.002000 | 400,000 |
O OpenAI | gpt-5-mini | $0.000250 | $0.002000 | 400,000 |
O OpenAI | gpt-5-nano | $0.000050 | $0.000400 | 400,000 |
O OpenAI | gpt-5-pro | $0.015000 | $0.120000 | 400,000 |
O OpenAI | gpt-oss-120b | $0.000040 | $0.000400 | 131,072 |
O OpenAI | gpt-oss-120b:exacto | $0.000050 | $0.000240 | 131,072 |
O OpenAI | gpt-oss-20b | $0.000030 | $0.000140 | 131,072 |
O OpenAI | gpt-oss-safeguard-20b | $0.000075 | $0.000300 | 131,072 |
O OpenAI | o1 | $0.015000 | $0.060000 | 200,000 |
O OpenAI | o1-pro | $0.150000 | $0.600000 | 200,000 |
O OpenAI | o3 | $0.002000 | $0.008000 | 200,000 |
O OpenAI | o3-deep-research | $0.010000 | $0.040000 | 200,000 |
O OpenAI | o3-mini | $0.001100 | $0.004400 | 200,000 |
O OpenAI | o3-mini-high | $0.001100 | $0.004400 | 200,000 |
O OpenAI | o3-pro | $0.020000 | $0.080000 | 200,000 |
O OpenAI | o4-mini | $0.001100 | $0.004400 | 200,000 |
O OpenAI | o4-mini-deep-research | $0.002000 | $0.008000 | 200,000 |
O OpenAI | o4-mini-high | $0.001100 | $0.004400 | 200,000 |
QW Qwen | qwen-2.5-72b-instruct | $0.000070 | $0.000260 | 32,768 |
QW Qwen | qwen-2.5-7b-instruct | $0.000040 | $0.000100 | 32,768 |
QW Qwen | qwen-2.5-coder-32b-instruct | $0.000040 | $0.000160 | 32,768 |
QW Qwen | qwen-2.5-vl-7b-instruct | $0.000200 | $0.000200 | 32,768 |
QW Qwen | qwen-max | $0.001600 | $0.006400 | 32,768 |
QW Qwen | qwen-plus | $0.000400 | $0.001200 | 131,072 |
QW Qwen | qwen-turbo | $0.000050 | $0.000200 | 1,000,000 |
QW Qwen | qwen-vl-max | $0.000800 | $0.003200 | 131,072 |
QW Qwen | qwen-vl-plus | $0.000210 | $0.000630 | 7,500 |
QW Qwen | qwen2.5-coder-7b-instruct | $0.000030 | $0.000090 | 32,768 |
QW Qwen | qwen2.5-vl-32b-instruct | $0.000050 | $0.000220 | 16,384 |
QW Qwen | qwen2.5-vl-72b-instruct | $0.000080 | $0.000330 | 32,768 |
QW Qwen | qwen3-14b | $0.000050 | $0.000220 | 40,960 |
QW Qwen | qwen3-235b-a22b | $0.000180 | $0.000540 | 40,960 |
QW Qwen | qwen3-235b-a22b-2507 | $0.000080 | $0.000550 | 262,144 |
QW Qwen | qwen3-235b-a22b-thinking-2507 | $0.000110 | $0.000600 | 262,144 |
QW Qwen | qwen3-30b-a3b | $0.000060 | $0.000220 | 40,960 |
QW Qwen | qwen3-30b-a3b-instruct-2507 | $0.000080 | $0.000330 | 262,144 |
QW Qwen | qwen3-30b-a3b-thinking-2507 | $0.000080 | $0.000290 | 262,144 |
QW Qwen | qwen3-32b | $0.000050 | $0.000200 | 40,960 |
QW Qwen | qwen3-8b | $0.000035 | $0.000138 | 128,000 |
QW Qwen | qwen3-coder | $0.000220 | $0.000950 | 262,144 |
QW Qwen | qwen3-coder-30b-a3b-instruct | $0.000060 | $0.000250 | 262,144 |
QW Qwen | qwen3-coder-flash | $0.000300 | $0.001500 | 128,000 |
QW Qwen | qwen3-coder-plus | $0.001000 | $0.005000 | 128,000 |
QW Qwen | qwen3-coder:exacto | $0.000380 | $0.001530 | 262,144 |
QW Qwen | qwen3-max | $0.001200 | $0.006000 | 256,000 |
QW Qwen | qwen3-next-80b-a3b-instruct | $0.000100 | $0.000800 | 262,144 |
QW Qwen | qwen3-next-80b-a3b-thinking | $0.000150 | $0.001200 | 262,144 |
QW Qwen | qwen3-vl-235b-a22b-instruct | $0.000220 | $0.000880 | 131,072 |
QW Qwen | qwen3-vl-235b-a22b-thinking | $0.000300 | $0.001200 | 262,144 |
QW Qwen | qwen3-vl-30b-a3b-instruct | $0.000150 | $0.000600 | N/A |
QW Qwen | qwen3-vl-30b-a3b-thinking | $0.000200 | $0.001000 | 131,072 |
QW Qwen | qwen3-vl-32b-instruct | $0.000350 | $0.001100 | 262,144 |
QW Qwen | qwen3-vl-8b-instruct | $0.000080 | $0.000500 | 131,072 |
QW Qwen | qwen3-vl-8b-thinking | $0.000180 | $0.002100 | 256,000 |
QW Qwen | qwq-32b | $0.000150 | $0.000400 | 32,768 |
* Some models use tiered pricing based on prompt length. Displayed prices are for prompts ≤ 200k tokens.
What does "cost per token" mean?
Tokens are the basic units that AI models use to process text. Generally, 1,000 tokens ≈ ~750 words. The cost per token determines how much you pay for each unit of text processed by the model.
Formula: Total Cost = (tokens / 1,000) × price per 1K tokens
Examples
Example usage with Kimi-K2-0905: A 500-word prompt + 300-word response ≈ ~1,067 tokens total.
- • 1,000 tokens ≈ ~750 words of text
- • Short email: ~200-400 tokens
- • Blog post: ~1,000-3,000 tokens
- • Research paper: ~10,000+ tokens
Kimi-K2-0905 Cost Example:
1,000 input tokens + 500 output tokens = $0.001850
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