Mistral AIAuto-detectedMagistral Small 1.0
Magistral Small 1.0 is a Mistral AI proprietary model, released 10 Jun 2025. It is not yet ranked: 2 independent results so far, and the index needs at least five across two categories. At $0.750 per million tokens blended it is mid-priced. Last measured 10 Jun 2025.stale: no new result in six months
- Blended price
- $0.750/M
- $0.500 in · $1.50 out
- Output speed
- –
- First answer
- –
- Context
- 40k
- Reasoning43
- Maths37
Versions
Mistral AI has shipped 5 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 |
|---|---|---|---|
| Magistral Small 1.2 | 18 Sept 2025 | 41.2 | #505 |
| Magistral Small 1.0this page | 10 Jun 2025 | – | – |
| Magistral Small | 17 Mar 2025 | 37.9 | #570 |
| Magistral Small 1.0 | – | – | – |
| Magistral Small 1.2 | – | – | – |
Benchmark results
One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.
Reasoning
| Benchmark | default | Source |
|---|---|---|
| GPQA Diamond | 56.1%#189 | Epoch AI Benchmarking Hub |
Maths
| Benchmark | default | Source |
|---|---|---|
| OTIS Mock AIME | 30.0%#194 | Epoch AI Benchmarking Hub |
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 | $0.0007 | – | – |
| Summarise a 30-page report | 12,000 / 600 | $0.0069 | – | – |
| Code edit | 6,000 / 1,500 | $0.0053 | – | – |
| Agentic coding session | 60,000 / 4,000 | $0.036 | – | – |
| Structured extraction | 2,000 / 200 | $0.0013 | – | – |
See also
Data as of 10 Sept 2026. Compare with another model.