GPT OSS 20B (Fireworks) vs Mistral Small 3.2: API Cost Comparison
Compare the API pricing, context windows, features, and real-world cost projections for GPT OSS 20B (Fireworks) (Fireworks AI) and Mistral Small 3.2 (Mistral AI). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.
Prices verified Apr 30, 2026
Interactive Cost Calculator
Fills in typical token counts for a workload type
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Showing costs for 2 models. Cheapest: GPT OSS 20B (Fireworks) at $2.20/month.
| Alert | |||||||
|---|---|---|---|---|---|---|---|
BestGPT OSS 20B (Fireworks) | Fireworks AI | $2.20 | $0.000220 | $0.70 | $1.50 | 12.0% | Alerts coming soon |
Mistral Small 3.2 | Mistral AI | $2.50 | $0.000250 | $1.00 | $1.50 | — | Alerts coming soon |
Monthly Cost Comparison
Price Comparison at a Glance
All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.
| Pricing Type | GPT OSS 20B (Fireworks) | Mistral Small 3.2 | Cheaper |
|---|---|---|---|
| Input (standard) | $0.07/M | $0.10/M | GPT OSS 20B (Fireworks) |
| Output | $0.30/M | $0.30/M | — |
| Cached input | $0.04/M | N/A | — |
| Batch input | $0.04/M | N/A | — |
| Batch output | $0.15/M | N/A | — |
Prices last verified: 2026-03-10 – 2026-04-30
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 | GPT OSS 20B (Fireworks)Monthly | Mistral Small 3.2Monthly | GPT OSS 20B (Fireworks)Per request | Mistral Small 3.2Per request |
|---|---|---|---|---|
| 1K requests/mo | $0.22 | $0.25 | $0.000220 | $0.000250 |
| 10K requests/mo | $2.20 | $2.50 | $0.000220 | $0.000250 |
| 100K requests/mo | $22.00 | $25.00 | $0.000220 | $0.000250 |
| 1M requests/mo | $220.00 | $250.00 | $0.000220 | $0.000250 |
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 GPT OSS 20B (Fireworks)
by Fireworks AI
- Customer support
- Text classification
- General chatbot
Input / 1M tokens
$0.07/M
Output / 1M tokens
$0.30/M
Context window
131,072
Tier
budget
When to Choose Mistral Small 3.2
by Mistral AI
- Text classification
- Data extraction
- Customer support
Input / 1M tokens
$0.10/M
Output / 1M tokens
$0.30/M
Context window
32,768
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 | GPT OSS 20B (Fireworks) | Mistral Small 3.2 |
|---|---|---|
| Context window | 131,072 tokens | 32,768 tokens |
| Max output tokens | 16,384 tokens | 4,096 tokens |
| Performance tier | Budget | Budget |
| Vision / image input | No | No |
| Function calling | Yes | Yes |
| JSON mode | Yes | Yes |
| Prompt caching | Yes | No |
| Batch API (50% discount) | Yes | No |
| Extended reasoning | No | No |
| Fine-tuning | No | Yes |
GPT OSS 20B (Fireworks) notes
Fireworks serverless pricing. Cached input 50% discount. Batch at 50% of serverless.
Mistral Small 3.2 notes
Supports fine-tuning. Good for specialized classification tasks.
Frequently Asked Questions
Is GPT OSS 20B (Fireworks) cheaper than Mistral Small 3.2?
At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), GPT OSS 20B (Fireworks) costs $22.00/month versus $25.00/month for Mistral Small 3.2 — a 12% 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, GPT OSS 20B (Fireworks) or Mistral Small 3.2?
GPT OSS 20B (Fireworks) has a larger context window at 131,072 tokens, compared to 32,768 tokens for Mistral Small 3.2. A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.
Do GPT OSS 20B (Fireworks) and Mistral Small 3.2 support the Batch API?
GPT OSS 20B (Fireworks) supports the Batch API (50% discount for async processing), while Mistral Small 3.2 does not. If your workload tolerates up to 24-hour latency, routing to GPT OSS 20B (Fireworks) with batch pricing could significantly cut costs versus Mistral Small 3.2's standard rate.
Which model offers better prompt caching?
GPT OSS 20B (Fireworks) supports prompt caching at $0.04/M for cached input, while Mistral Small 3.2 does not offer prompt caching. For RAG applications or chatbots with large, repeated context, GPT OSS 20B (Fireworks)'s caching capability can substantially reduce effective costs.
What are the best use cases for GPT OSS 20B (Fireworks) vs Mistral Small 3.2?
Both models are well-suited for Customer support, Text classification. GPT OSS 20B (Fireworks) is particularly strong for General chatbot. Mistral Small 3.2 is favored for Data extraction. 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 GPT OSS 20B (Fireworks) vs Mistral Small 3.2?
At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — GPT OSS 20B (Fireworks) costs $0.000220 per request and Mistral Small 3.2 costs $0.000250 per request. At 100,000 requests/month, that translates to $22.00 and $25.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
GPT OSS 20B (Fireworks) vs Mistral Small 3.2: Summary
When comparing GPT OSS 20B (Fireworks) and Mistral Small 3.2 for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. GPT OSS 20B (Fireworks) offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $22.00/month, compared to $25.00/month for Mistral Small 3.2.
Both models are priced in USD per million tokens, the standard unit across all major AI API providers. GPT OSS 20B (Fireworks) charges $0.07/M for input tokens and $0.30/M for output tokens. Mistral Small 3.2 charges $0.10/M input and $0.30/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 OSS 20B (Fireworks) but not Mistral Small 3.2. 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 OSS 20B (Fireworks) supports up to 131,072 tokens in a single request, versus 32,768 tokens for Mistral Small 3.2. 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
See cost recommendations for workloads where GPT OSS 20B (Fireworks) or Mistral Small 3.2 is recommended.