Amazon Nova Pro vs GPT-5 mini: API Cost Comparison
Compare the API pricing, context windows, features, and real-world cost projections for Amazon Nova Pro (AWS Bedrock) and GPT-5 mini (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
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: GPT-5 mini at $12.50/month.
| Alert | |||||||
|---|---|---|---|---|---|---|---|
BestGPT-5 mini | OpenAI | $12.50 | $0.001250 | $2.50 | $10.00 | 47.9% | Alerts coming soon |
Amazon Nova Pro | AWS Bedrock | $24.00 | $0.002400 | $8.00 | $16.00 | — | Alerts coming soon |
Monthly Cost Comparison
Price Comparison at a Glance
All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.
| Pricing Type | Amazon Nova Pro | GPT-5 mini | Cheaper |
|---|---|---|---|
| Input (standard) | $0.80/M | $0.25/M | GPT-5 mini |
| Output | $3.20/M | $2.00/M | GPT-5 mini |
| Cached input | N/A | $0.03/M | — |
Prices last verified: 2026-03-08 – 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 ProMonthly | GPT-5 miniMonthly | Amazon Nova ProPer request | GPT-5 miniPer request |
|---|---|---|---|---|
| 1K requests/mo | $2.40 | $1.25 | $0.002400 | $0.001250 |
| 10K requests/mo | $24.00 | $12.50 | $0.002400 | $0.001250 |
| 100K requests/mo | $240.00 | $125.00 | $0.002400 | $0.001250 |
| 1M requests/mo | $2,400.00 | $1,250.00 | $0.002400 | $0.001250 |
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 Pro
by AWS Bedrock
- Data extraction
- Rag Retrieval
- Content Creation
Input / 1M tokens
$0.80/M
Output / 1M tokens
$3.20/M
Context window
300,000
Tier
mid
When to Choose GPT-5 mini
by OpenAI
- Customer support
- General chatbot
- Data extraction
Input / 1M tokens
$0.25/M
Output / 1M tokens
$2.00/M
Context window
400,000
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 Pro | GPT-5 mini |
|---|---|---|
| Context window | 300,000 tokens | 400,000 tokens |
| Max output tokens | 5,120 tokens | 128,000 tokens |
| Performance tier | Mid | Mid |
| Vision / image input | Yes | Yes |
| Function calling | Yes | Yes |
| JSON mode | Yes | Yes |
| Prompt caching | No | Yes |
| Batch API (50% discount) | Yes | No |
| Extended reasoning | No | No |
| Fine-tuning | Yes | No |
| Rate limit (req/min) | Not published | 10,000 |
Amazon Nova Pro notes
Amazon's own frontier model. Supports vision, video, and document inputs. Best Amazon-native option for multimodal enterprise workloads.
GPT-5 mini notes
1M context window at mid-tier pricing. Good balance of cost and capability.
Frequently Asked Questions
Is Amazon Nova Pro cheaper than GPT-5 mini?
At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), GPT-5 mini costs $125.00/month versus $240.00/month for Amazon Nova Pro — a 48% 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 Pro or GPT-5 mini?
GPT-5 mini has a larger context window at 400,000 tokens, compared to 300,000 tokens for Amazon Nova Pro. A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.
Do Amazon Nova Pro and GPT-5 mini support the Batch API?
Amazon Nova Pro supports the Batch API (50% discount for async processing), while GPT-5 mini does not. If your workload tolerates up to 24-hour latency, routing to Amazon Nova Pro with batch pricing could significantly cut costs versus GPT-5 mini's standard rate.
Which model offers better prompt caching?
GPT-5 mini supports prompt caching at $0.03/M for cached input, while Amazon Nova Pro does not offer prompt caching. For RAG applications or chatbots with large, repeated context, GPT-5 mini's caching capability can substantially reduce effective costs.
What are the best use cases for Amazon Nova Pro vs GPT-5 mini?
Both models are well-suited for Data extraction. Amazon Nova Pro is particularly strong for Rag Retrieval, Content Creation. GPT-5 mini is favored for Customer support, General chatbot. 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 Pro vs GPT-5 mini?
At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Amazon Nova Pro costs $0.002400 per request and GPT-5 mini costs $0.001250 per request. At 100,000 requests/month, that translates to $240.00 and $125.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
Amazon Nova Pro vs GPT-5 mini: Summary
When comparing Amazon Nova Pro and GPT-5 mini for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. GPT-5 mini offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $125.00/month, compared to $240.00/month for Amazon Nova Pro.
Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Amazon Nova Pro charges $0.80/M for input tokens and $3.20/M for output tokens. GPT-5 mini charges $0.25/M input and $2.00/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.
Prompt caching is supported by GPT-5 mini but not Amazon Nova Pro. For workloads with large, repeated system prompts or document context — such as RAG pipelines or multi-turn conversations with a fixed knowledge base — prompt caching can reduce effective input costs by 60–90%, which may change the cost ranking between these two models at your specific usage pattern.
Context window capacity differs between the two: GPT-5 mini supports up to 400,000 tokens in a single request, versus 300,000 tokens for Amazon Nova Pro. 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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