Amazon Nova Micro vs Nemotron Nano 9B: API Cost Comparison
Compare the API pricing, context windows, features, and real-world cost projections for Amazon Nova Micro (AWS Bedrock) and Nemotron Nano 9B (Nvidia NIM). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.
Prices verified Mar 11, 2026
Interactive Cost Calculator
Fills in typical token counts for a workload type
Tokens in each prompt sent to the model
Tokens generated in each response
Total API calls per month
Showing costs for 2 models. Cheapest: Amazon Nova Micro at $1.05/month.
| Alert | |||||||
|---|---|---|---|---|---|---|---|
BestAmazon Nova Micro | AWS Bedrock | $1.05 | $0.000105 | $0.35 | $0.70 | 12.5% | Alerts coming soon |
Nemotron Nano 9B | Nvidia NIM | $1.20 | $0.000120 | $0.40 | $0.80 | — | Alerts coming soon |
Monthly Cost Comparison
Price Comparison at a Glance
All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.
| Pricing Type | Amazon Nova Micro | Nemotron Nano 9B | Cheaper |
|---|---|---|---|
| Input (standard) | $0.04/M | $0.04/M | Amazon Nova Micro |
| Output | $0.14/M | $0.16/M | Amazon Nova Micro |
Prices last verified: 2026-03-11
Cost Breakdown by Usage Volume
Estimated monthly costs at different request volumes, assuming 1,000 input tokens and 500 output tokens per request. Adjust in the calculator above for your specific use case.
| Volume | Amazon Nova MicroMonthly | Nemotron Nano 9BMonthly | Amazon Nova MicroPer request | Nemotron Nano 9BPer request |
|---|---|---|---|---|
| 1K requests/mo | $0.10 | $0.12 | $0.000105 | $0.000120 |
| 10K requests/mo | $1.05 | $1.20 | $0.000105 | $0.000120 |
| 100K requests/mo | $10.50 | $12.00 | $0.000105 | $0.000120 |
| 1M requests/mo | $105.00 | $120.00 | $0.000105 | $0.000120 |
Green values indicate the lower-cost option at each volume tier. Cost per request is calculated at 1,000 input + 500 output tokens using standard (non-batch, non-cached) pricing.
Price History
Input price per 1M tokensWhen to Choose Amazon Nova Micro
by AWS Bedrock
- Text classification
- Customer support
- Data extraction
Input / 1M tokens
$0.04/M
Output / 1M tokens
$0.14/M
Context window
128,000
Tier
budget
When to Choose Nemotron Nano 9B
by Nvidia NIM
- Customer support
- Text classification
- Summarization
Input / 1M tokens
$0.04/M
Output / 1M tokens
$0.16/M
Context window
128,000
Tier
budget
Key Differences Beyond Price
Cost is only one factor in choosing an AI model. Context window size, rate limits, supported features, and latency all affect whether a model fits your use case.
| Capability | Amazon Nova Micro | Nemotron Nano 9B |
|---|---|---|
| Context window | 128,000 tokens | 128,000 tokens |
| Max output tokens | 5,120 tokens | 8,192 tokens |
| Performance tier | Budget | Budget |
| Vision / image input | No | No |
| Function calling | Yes | Yes |
| JSON mode | Yes | Yes |
| Prompt caching | No | No |
| Batch API (50% discount) | Yes | No |
| Extended reasoning | No | No |
| Fine-tuning | Yes | No |
Amazon Nova Micro notes
Amazon's cheapest Nova model, text-only. Exceptional price-performance for classification, routing, and extraction. One of the lowest-cost options on Bedrock.
Nemotron Nano 9B notes
Nemotron Nano 9B on NVIDIA NIM. Ultra-low-cost compact model for high-volume tasks requiring fast, efficient inference at minimal per-token cost.
Frequently Asked Questions
Is Amazon Nova Micro cheaper than Nemotron Nano 9B?
At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Amazon Nova Micro costs $10.50/month versus $12.00/month for Nemotron Nano 9B — a 13% saving. Your actual savings will vary based on your token profile; output-heavy workloads amplify differences in output pricing.
Which model has a larger context window, Amazon Nova Micro or Nemotron Nano 9B?
Both Amazon Nova Micro and Nemotron Nano 9B have the same context window: 128,000 tokens.
Do Amazon Nova Micro and Nemotron Nano 9B support the Batch API?
Amazon Nova Micro supports the Batch API (50% discount for async processing), while Nemotron Nano 9B does not. If your workload tolerates up to 24-hour latency, routing to Amazon Nova Micro with batch pricing could significantly cut costs versus Nemotron Nano 9B's standard rate.
Which model offers better prompt caching?
Neither Amazon Nova Micro nor Nemotron Nano 9B currently supports prompt caching. For prompt-caching capable alternatives, consider Claude models from Anthropic or GPT-4o from OpenAI.
What are the best use cases for Amazon Nova Micro vs Nemotron Nano 9B?
Both models are well-suited for Text classification, Customer support. Amazon Nova Micro is particularly strong for Data extraction. Nemotron Nano 9B is favored for Summarization. At the same quality level, the lower-cost model is usually preferable; use this page's calculator to compare total monthly spend at your volume.
What is the cost per request for Amazon Nova Micro vs Nemotron Nano 9B?
At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Amazon Nova Micro costs $0.000105 per request and Nemotron Nano 9B costs $0.000120 per request. At 100,000 requests/month, that translates to $10.50 and $12.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
Amazon Nova Micro vs Nemotron Nano 9B: Summary
When comparing Amazon Nova Micro and Nemotron Nano 9B for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Amazon Nova Micro offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $10.50/month, compared to $12.00/month for Nemotron Nano 9B.
Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Amazon Nova Micro charges $0.04/M for input tokens and $0.14/M for output tokens. Nemotron Nano 9B charges $0.04/M input and $0.16/M output. If your workload is output-heavy (more tokens generated than consumed as input), the model with the lower output price compounds cost savings significantly at scale.
Context window capacity differs between the two: Both models support 128,000 tokens per request. A larger context window is essential for document summarization, large codebase analysis, and multi-document retrieval-augmented generation (RAG) applications.
Use the interactive calculator at the top of this page to enter your actual token usage and monthly request volume for a precise cost comparison tailored to your workload. Adjust for batch API discounts and prompt caching to find the most cost-effective option for your specific deployment.
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Relevant Use Cases
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