Mistral Small 3: pricing, context window and benchmarks
Mistral Small 3 is a multimodal model from Mistral AI. It offers a 32,768-token context window, costs $3.90 per million input tokens and $20.43 per million output tokens, and averages 75.3 across the index's benchmark suite.
Pricing
Mistral Small 3 costs $3.90 per million input tokens and $20.43 per million output tokens. A blended 3:1 input-to-output mix works out to about $8.03 per million tokens. Cached input is listed at $0.58 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $3.90 | per 1M tokens |
| Output | $20.43 | per 1M tokens |
| Cached input | $0.58 | per 1M tokens |
| Blended 3:1 | $8.03 | estimate per 1M tokens |
| 1M in + 1M out | $24.33 | estimate |
Benchmarks
Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 78.1 | 240 | 60th | |
| GPQA Diamond | 73.8 | 177 | 71th | |
| SWE-bench Verified | 65.6 | 202 | 66th | |
| HumanEval | 78.6 | 275 | 54th | |
| MATH-500 | 77.2 | 274 | 54th | |
| AIME 2025 | 70.8 | 242 | 60th | |
| LiveCodeBench | 65.1 | 292 | 51th | |
| IFEval | 83.5 | 232 | 61th | |
| TruthfulQA | 76.3 | 300 | 50th | |
| HellaSwag | 86.5 | 193 | 68th | |
| MMMU | 72.8 | 226 | 62th | |
| Arena Elo | 1407.1 | 190 | 68th |
What Mistral Small 3 is good for
Mistral Small 3 is an open-weight model, so it can be self-hosted or run through a third-party inference provider. That matters for data residency, fine-tuning and long-run cost control. At $3.90 per million input tokens (hosted list price) and a 32,768-token context window, it is a practical option for teams that want more control than a closed API allows.
Strengths
- Input price of $3.90 per million tokens is at or below the index median.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
- Accepts more than text, including image input where the provider supports it.
Trade-offs
- No standout weakness in the indexed specifications, but real-world behaviour still needs testing.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Llama 3.1 Chat | Meta AI | 32768 | $3.82 | 75.3 |
| Llama 4 Scout Base | Meta AI | 32768 | $3.95 | 75.3 |
| Mistral Small 3 | Mistral AI | 32768 | $3.90 | 75.3 |
| Phi-4 Instruct | Microsoft | 128000 | $3.79 | 75.3 |
| Seed-OSS | ByteDance | 32768 | $3.74 | 75.3 |
| Llama 3 Modal Instruct | Modal | 128000 | $3.84 | 75.2 |
FAQ
How much does Mistral Small 3 cost?
Mistral Small 3 is listed at $3.90 per million input tokens and $20.43 per million output tokens. Cached input is $0.58 per million tokens. A blended 3:1 input-to-output mix is about $8.03 per million tokens.
What is the context window of Mistral Small 3?
Mistral Small 3 has a context window of 32,768 tokens and can emit up to 8,192 output tokens per request in this index.
Is Mistral Small 3 open weights?
Yes. Mistral Small 3 is listed as an open-weight model under a open weights licence.
How does Mistral Small 3 score on benchmarks?
Mistral Small 3 averages 75.3 across the scored benchmarks in this index, ranking #243 of 600 models. Its strongest relative result is Arena Elo at 1407.1.
What is Mistral Small 3 best for?
Mistral Small 3 is an open-weight model, so it can be self-hosted or run through a third-party inference provider. That matters for data residency, fine-tuning and long-run cost control. At $3.90 per million input tokens (hosted list price) and a 32,768-token context window, it is a practical option for teams that want more control than a closed API allows.