Amazon Nova Micro
AmazonAmazon Nova Micro by Amazon costs $0.035/M input, $0.14/M output with 128K context window. Updated February 2026. Compare with GPT-5, Claude, Gemini & 40+ models.
Input Price
$0.04
per 1M tokens
Output Price
$0.14
per 1M tokens
Context Window
128K
tokens
Specifications
| Provider | Amazon |
| Model ID | nova-micro |
| Input Price | $0.035 / 1M tokens |
| Output Price | $0.14 / 1M tokens |
| Context Window | 128K tokens |
| Max Output | 5K tokens |
| Capabilities | text |
| Release Date | 2024-12 |
| Notes | Text-only. Lowest cost option on Bedrock. |
Monthly Cost Estimates
Estimated monthly costs based on different daily usage levels (assuming 50% input / 50% output split).
| Daily Tokens | Monthly Cost | Annual Cost |
|---|---|---|
| 10K | $0.03 | $0.32 |
| 50K | $0.13 | $1.58 |
| 100K | $0.26 | $3.15 |
| 500K | $1.31 | $15.75 |
| 1.0M | $2.63 | $31.50 |
About Amazon Nova Micro
Amazon Nova Micro is a large language model by Amazon. It features a 128K token context window with up to 5K tokens of output per request. The model supports 1 capabilities: text.
At $0.035 per million input tokens and $0.14 per million output tokens, Amazon Nova Micro is positioned as a cost-effective option in the Amazon lineup. Use our Token Counter to estimate how many tokens your prompts use, and our Pricing Calculator to compare costs across all models.
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FAQ
How much does Amazon Nova Micro cost?
Amazon Nova Micro costs $0.035 per million input tokens and $0.14 per million output tokens. For a typical workload of 100K tokens/day, expect approximately $0.32/month.
What is Amazon Nova Micro's context window?
Amazon Nova Micro supports a context window of 128K tokens. This means your combined input prompt and output response can be up to 128K tokens. The maximum output per response is 5K tokens.
Is Amazon Nova Micro good for my use case?
Amazon Nova Micro supports text. As a budget-friendly model, it works well for high-volume tasks like classification, summarization, and simple generation. Use our Pricing Calculator to compare with alternatives.