Amazon Nova Micro vs Llama 4 Scout (Fireworks): API Cost Comparison
Compare the API pricing, context windows, features, and real-world cost projections for Amazon Nova Micro (AWS Bedrock) and Llama 4 Scout (Fireworks) (Fireworks AI). 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 | 65.0% | Alerts coming soon |
Llama 4 Scout (Fireworks) | Fireworks AI | $3.00 | $0.000300 | $2.00 | $1.00 | — | Alerts coming soon |
Monthly Cost Comparison
Price Comparison at a Glance
All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.
| Pricing Type | Amazon Nova Micro | Llama 4 Scout (Fireworks) | Cheaper |
|---|---|---|---|
| Input (standard) | $0.04/M | $0.20/M | Amazon Nova Micro |
| Output | $0.14/M | $0.20/M | Amazon Nova Micro |
| Cached input | N/A | $0.10/M | — |
| Batch input | N/A | $0.10/M | — |
| Batch output | N/A | $0.10/M | — |
Prices last verified: 2026-03-10 – 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 | Llama 4 Scout (Fireworks)Monthly | Amazon Nova MicroPer request | Llama 4 Scout (Fireworks)Per request |
|---|---|---|---|---|
| 1K requests/mo | $0.10 | $0.30 | $0.000105 | $0.000300 |
| 10K requests/mo | $1.05 | $3.00 | $0.000105 | $0.000300 |
| 100K requests/mo | $10.50 | $30.00 | $0.000105 | $0.000300 |
| 1M requests/mo | $105.00 | $300.00 | $0.000105 | $0.000300 |
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 Llama 4 Scout (Fireworks)
by Fireworks AI
- Customer support
- RAG / Semantic search
- General chatbot
Input / 1M tokens
$0.20/M
Output / 1M tokens
$0.20/M
Context window
10,000,000
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 | Llama 4 Scout (Fireworks) |
|---|---|---|
| Context window | 128,000 tokens | 10,000,000 tokens |
| Max output tokens | 5,120 tokens | 16,384 tokens |
| Performance tier | Budget | Budget |
| Vision / image input | No | Yes |
| Function calling | Yes | Yes |
| JSON mode | Yes | Yes |
| Prompt caching | No | Yes |
| Batch API (50% discount) | Yes | Yes |
| 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.
Llama 4 Scout (Fireworks) notes
Fireworks serverless pricing. Cached input 50% discount. Batch inference at 50% of serverless rates. 10M context window.
Frequently Asked Questions
Is Amazon Nova Micro cheaper than Llama 4 Scout (Fireworks)?
At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Amazon Nova Micro costs $10.50/month versus $30.00/month for Llama 4 Scout (Fireworks) — a 65% 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 Llama 4 Scout (Fireworks)?
Llama 4 Scout (Fireworks) has a larger context window at 10,000,000 tokens, compared to 128,000 tokens for Amazon Nova Micro. A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.
Do Amazon Nova Micro and Llama 4 Scout (Fireworks) support the Batch API?
Yes — both Amazon Nova Micro and Llama 4 Scout (Fireworks) support batch API processing, which offers a 50% discount on input and output costs in exchange for up to 24-hour turnaround. Ideal for offline workloads like bulk document processing or nightly classification pipelines.
Which model offers better prompt caching?
Llama 4 Scout (Fireworks) supports prompt caching at $0.10/M for cached input, while Amazon Nova Micro does not offer prompt caching. For RAG applications or chatbots with large, repeated context, Llama 4 Scout (Fireworks)'s caching capability can substantially reduce effective costs.
What are the best use cases for Amazon Nova Micro vs Llama 4 Scout (Fireworks)?
Both models are well-suited for Customer support. Amazon Nova Micro is particularly strong for Text classification, Data extraction. Llama 4 Scout (Fireworks) is favored for RAG / Semantic search, 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 Micro vs Llama 4 Scout (Fireworks)?
At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Amazon Nova Micro costs $0.000105 per request and Llama 4 Scout (Fireworks) costs $0.000300 per request. At 100,000 requests/month, that translates to $10.50 and $30.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
Amazon Nova Micro vs Llama 4 Scout (Fireworks): Summary
When comparing Amazon Nova Micro and Llama 4 Scout (Fireworks) 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 $30.00/month for Llama 4 Scout (Fireworks).
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. Llama 4 Scout (Fireworks) charges $0.20/M input and $0.20/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 Llama 4 Scout (Fireworks) but not Amazon Nova Micro. 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: Llama 4 Scout (Fireworks) supports up to 10,000,000 tokens in a single request, versus 128,000 tokens for Amazon Nova Micro. 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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