Amazon Nova Micro V1 Pricing (Updated 2025)
This page tracks Amazon Nova Micro V1 pricing and compares it with 95 competitor models. Prices are shown per 1,000 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 |
|---|---|---|---|---|
AM Amazon | nova-micro-v1 | $0.000035 | $0.000140 | 128,000 |
AM Amazon | nova-lite-v1 | $0.000060 | $0.000240 | 300,000 |
AM Amazon | nova-pro-v1 | $0.000800 | $0.003200 | 300,000 |
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-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 | 200,000 |
DS Deepseek | deepseek-chat | $0.000180 | $0.000720 | 163,840 |
DS Deepseek | deepseek-chat-v3-0324 | $0.000180 | $0.000720 | 163,840 |
DS Deepseek | deepseek-prover-v2 | $0.000500 | $0.002180 | 163,840 |
DS Deepseek | deepseek-r1 | $0.000400 | $0.002000 | 163,840 |
DS Deepseek | deepseek-r1-0528 | $0.000180 | $0.000720 | 163,840 |
DS Deepseek | deepseek-r1-0528-qwen3-8b | $0.000010 | $0.000020 | 32,000 |
M Deepseek | deepseek-r1-distill-llama-70b | $0.000033 | $0.000133 | 131,072 |
M Deepseek | deepseek-r1-distill-llama-8b | $0.000040 | $0.000040 | 32,000 |
DS Deepseek | deepseek-r1-distill-qwen-1.5b | $0.000180 | $0.000180 | 131,072 |
DS Deepseek | deepseek-r1-distill-qwen-14b | $0.000150 | $0.000150 | 64,000 |
DS Deepseek | deepseek-r1-distill-qwen-32b | $0.000075 | $0.000150 | 131,072 |
DS Deepseek | deepseek-v3-base | $0.000200 | $0.000800 | 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-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 | gemini-flash-1.5 | $0.000075 | $0.000300 | 1,000,000 |
G Google | gemini-flash-1.5-8b | $0.000037 | $0.000150 | 1,000,000 |
G Google | gemini-pro-1.5 | $0.001250 | $0.005000 | 2,000,000 |
G Google | gemma-2-27b-it | $0.000650 | $0.000650 | 8,192 |
G Google | gemma-2-9b-it | $0.000010 | $0.000010 | 8,192 |
G Google | gemma-3-12b-it | $0.000048 | $0.000193 | 96,000 |
G Google | gemma-3-27b-it | $0.000067 | $0.000267 | 96,000 |
G Google | gemma-3-4b-it | $0.000020 | $0.000040 | 131,072 |
G Google | gemma-3n-e4b-it | $0.000020 | $0.000040 | 32,768 |
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-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 | 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-oss-120b | $0.000073 | $0.000290 | 131,072 |
O Openai | gpt-oss-20b | $0.000040 | $0.000160 | 131,072 |
O Openai | o1 | $0.015000 | $0.060000 | 200,000 |
O Openai | o1-mini | $0.001100 | $0.004400 | 128,000 |
O Openai | o1-pro | $0.150000 | $0.600000 | 200,000 |
O Openai | o3 | $0.002000 | $0.008000 | 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-high | $0.001100 | $0.004400 | 200,000 |
QW Qwen | qwen-2-72b-instruct | $0.000900 | $0.000900 | 32,768 |
QW Qwen | qwen-2.5-72b-instruct | $0.000067 | $0.000267 | 32,768 |
QW Qwen | qwen-2.5-7b-instruct | $0.000040 | $0.000100 | 65,536 |
QW Qwen | qwen-2.5-coder-32b-instruct | $0.000050 | $0.000200 | 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 | 7,500 |
QW Qwen | qwen-vl-plus | $0.000210 | $0.000630 | 7,500 |
QW Qwen | qwen2.5-vl-32b-instruct | $0.000020 | $0.000080 | 16,384 |
QW Qwen | qwen2.5-vl-72b-instruct | $0.000100 | $0.000400 | 32,768 |
QW Qwen | qwen3-14b | $0.000060 | $0.000240 | 40,960 |
QW Qwen | qwen3-235b-a22b | $0.000130 | $0.000600 | 40,960 |
QW Qwen | qwen3-235b-a22b-2507 | $0.000078 | $0.000312 | 262,144 |
QW Qwen | qwen3-235b-a22b-thinking-2507 | $0.000078 | $0.000312 | 262,144 |
QW Qwen | qwen3-30b-a3b | $0.000020 | $0.000080 | 40,960 |
QW Qwen | qwen3-30b-a3b-instruct-2507 | $0.000200 | $0.000800 | 131,072 |
QW Qwen | qwen3-32b | $0.000018 | $0.000072 | 40,960 |
QW Qwen | qwen3-8b | $0.000035 | $0.000138 | 128,000 |
QW Qwen | qwen3-coder | $0.000200 | $0.000800 | 262,144 |
QW Qwen | qwq-32b | $0.000075 | $0.000150 | 131,072 |
QW Qwen | qwq-32b-preview | $0.000200 | $0.000200 | 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 Nova Micro V1: 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
Nova Micro V1 Cost Example:
1,000 input tokens + 500 output tokens = $0.000105
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