Amazon Nova Micro vs GPT-4o (Azure): API Cost Comparison
Compare the API pricing, context windows, features, and real-world cost projections for Amazon Nova Micro (AWS Bedrock) and GPT-4o (Azure) (Azure OpenAI). 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
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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 | 98.6% | Alerts coming soon |
GPT-4o (Azure) | Azure OpenAI | $75.00 | $0.007500 | $25.00 | $50.00 | — | Alerts coming soon |
Monthly Cost Comparison
Price Comparison at a Glance
All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.
| Pricing Type | Amazon Nova Micro | GPT-4o (Azure) | Cheaper |
|---|---|---|---|
| Input (standard) | $0.04/M | $2.50/M | Amazon Nova Micro |
| Output | $0.14/M | $10.00/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 | GPT-4o (Azure)Monthly | Amazon Nova MicroPer request | GPT-4o (Azure)Per request |
|---|---|---|---|---|
| 1K requests/mo | $0.10 | $7.50 | $0.000105 | $0.007500 |
| 10K requests/mo | $1.05 | $75.00 | $0.000105 | $0.007500 |
| 100K requests/mo | $10.50 | $750.00 | $0.000105 | $0.007500 |
| 1M requests/mo | $105.00 | $7,500.00 | $0.000105 | $0.007500 |
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 GPT-4o (Azure)
by Azure OpenAI
- General chatbot
- Content Creation
- Data extraction
Input / 1M tokens
$2.50/M
Output / 1M tokens
$10.00/M
Context window
128,000
Tier
mid
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 | GPT-4o (Azure) |
|---|---|---|
| Context window | 128,000 tokens | 128,000 tokens |
| Max output tokens | 5,120 tokens | 16,384 tokens |
| Performance tier | Budget | Mid |
| Vision / image input | No | Yes |
| 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.
GPT-4o (Azure) notes
GPT-4o via Azure OpenAI Service. Enterprise features include Azure AD auth, VNet support, content filtering, and compliance certifications (SOC 2, ISO 27001, HIPAA).
Frequently Asked Questions
Is Amazon Nova Micro cheaper than GPT-4o (Azure)?
At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Amazon Nova Micro costs $10.50/month versus $750.00/month for GPT-4o (Azure) — a 99% 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 GPT-4o (Azure)?
Both Amazon Nova Micro and GPT-4o (Azure) have the same context window: 128,000 tokens.
Do Amazon Nova Micro and GPT-4o (Azure) support the Batch API?
Amazon Nova Micro supports the Batch API (50% discount for async processing), while GPT-4o (Azure) does not. If your workload tolerates up to 24-hour latency, routing to Amazon Nova Micro with batch pricing could significantly cut costs versus GPT-4o (Azure)'s standard rate.
Which model offers better prompt caching?
Neither Amazon Nova Micro nor GPT-4o (Azure) 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 GPT-4o (Azure)?
Both models are well-suited for Data extraction. Amazon Nova Micro is particularly strong for Text classification, Customer support. GPT-4o (Azure) is favored for General chatbot, Content Creation. 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 GPT-4o (Azure)?
At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Amazon Nova Micro costs $0.000105 per request and GPT-4o (Azure) costs $0.007500 per request. At 100,000 requests/month, that translates to $10.50 and $750.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
Amazon Nova Micro vs GPT-4o (Azure): Summary
When comparing Amazon Nova Micro and GPT-4o (Azure) 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 $750.00/month for GPT-4o (Azure).
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. GPT-4o (Azure) charges $2.50/M input and $10.00/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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