token.app › Mistral AI › Mistral Small 3.1 24B
Mistral Small 3.1 24B pricing & benchmarks
Mistral Small 3.1 24B is available from Mistral AI at $0.351 per million input tokens and $0.555 per million output tokens ($0.402 blended at 3:1). It accepts up to 128,000 tokens of context. Mistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities. It provides state-of-the-art performance in text-based reasoning and...
Pricing
Per million tokens · OpenRouter
Input$0.351
Output$0.555
Blended (3:1)$0.402
Specification
mistralai/mistral-small-3.1-24b-instruct
Context window128K
Max output128K
ReleasedMar 2025
LicenceOpen weights
Modalitiesin:text, in:image, out:text
Benchmarks
Independently run — not vendor self-reports. Every score links its source.
| Benchmark | Score | Config | Run | Source |
|---|---|---|---|---|
| GPQA Diamond | 47.5% ±2.8 | — | 2025-03-18 | Independently run · Epoch AI |
| OTIS Mock AIME | 5.8% ±2.3 | — | 2025-03-18 | Independently run · Epoch AI |
Scores published by Epoch AI, 'AI Benchmarking Hub', used under CC BY 4.0.
Cheaper models that score at least as well on GPQA Diamond
Strictly lower blended price AND an equal-or-higher GPQA Diamond score. One benchmark is one dimension — a model that wins here may still be weaker at your specific task.
| Model | Provider | Blended $/1M | GPQA Diamond | |
|---|---|---|---|---|
| gpt-oss-120b | OpenAI | $0.070 (−83%) | 75.8% | Compare → |
| Phi 4 | Microsoft | $0.088 (−78%) | 56.1% | Compare → |
| DeepSeek V4 Flash 0731 | DeepSeek | $0.113 (−72%) | 91.0% | Compare → |
| GPT-5 Nano | OpenAI | $0.138 (−66%) | 69.4% | Compare → |
| Llama 4 Scout | Meta | $0.150 (−63%) | 51.8% | Compare → |
Compare Mistral Small 3.1 24B
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Mistral Small 3.1 24B vs GPT-5.6 Luna
Mistral Small 3.1 24B vs GPT-5.6 Terra
Mistral Small 3.1 24B vs GPT-5.6 Sol
FAQ
How much does Mistral Small 3.1 24B cost?
Mistral Small 3.1 24B costs $0.351 per million input tokens and $0.555 per million output tokens on OpenRouter. At a 3:1 input:output mix that blends to $0.402 per million tokens.
What is Mistral Small 3.1 24B's context window?
Mistral Small 3.1 24B accepts up to 128,000 tokens of context, and can generate up to 128,000 output tokens.
How good is Mistral Small 3.1 24B on benchmarks?
Mistral Small 3.1 24B scores 47.5% on GPQA Diamond, independently run and published by Epoch AI. 2 benchmark results are listed on this page, each with its run date and source.
Is there a cheaper model as good as Mistral Small 3.1 24B?
Yes — 5 models in our catalogue cost less per token than Mistral Small 3.1 24B and score at least as high on the same benchmark. The cheapest is gpt-oss-120b at $0.070 per million tokens blended.