Mistral AIMistral Small 3.1 24B
Mistral Small 3.1 24B is a Mistral AI open-weights model. It is not yet ranked: no independent benchmark results so far, only pricing and metadata. At $0.402 per million tokens blended it is cheaper than most ranked models. Output speed of 36 tokens per second puts it in the slowest quarter, with a first token in 0.4 s.
- Blended price
- $0.402/M
- $0.351 in · $0.555 out
- Output speed
- 36 tok/s
- OpenRouter traffic, 7-day median; not yet measured by Artificial Analysis
- First answer
- 0.44 s
- Context
- 128k
- Full answer
- –
- Cost per run
- –
- Released
- –
- date not published by our sources
Versions
Mistral AI has shipped 2 models under this name. Each is ranked on its own results; a newer version often has fewer results so far, which holds its index nearer the average until more arrive.
| Model | Released | Index | Rank |
|---|---|---|---|
| Mistral Small 3.1 24B 2503 | – | 47.1 | #463 |
| Mistral Small 3.1 24Bthis page | – | – | – |
No independent quality benchmark results yet — only pricing and metadata.
Where to run it
Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.
| Provider | Speed | First token | Input $/M | Output $/M | Context | Quantisation |
|---|---|---|---|---|---|---|
| Cloudflare | 36 tok/s | 0.45 s | $0.351 | $0.555 | 128k | – |
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.0003 | – | 8.8 s |
| Summarize a 30-page report | 12,000 / 600 | $0.0045 | – | 17.1 s |
| Code edit | 6,000 / 1,500 | $0.0029 | – | 42.1 s |
| Agentic coding session | 60,000 / 4,000 | $0.023 | – | 1.9 min |
| Structured extraction | 2,000 / 200 | $0.0008 | – | 6.0 s |
More from Mistral AI
See also
Questions people ask
- Why does Mistral Small 3.1 24B have no BenchLeader Index score?
- The index needs at least five independent results across at least two categories; as of 25 Oct 2026 Mistral Small 3.1 24B has 0 that count. Launch-post scores are never used, so it is ranked once independent publishers have measured it.
- How much does Mistral Small 3.1 24B cost per 1M tokens?
- As of 25 Oct 2026, Mistral Small 3.1 24B costs $0.351 per 1M input tokens and $0.555 per 1M output tokens, $0.402 blended (three input tokens per output token).
Data as of 25 Oct 2026. Compare with another model.
Cite as: BenchLeader, “Mistral Small 3.1 24B: benchmarks, pricing, speed and rank”, data as of 25 Oct 2026, https://www.benchleader.com/models/mistral-small-3-1-24b.