Mistral AIAuto-detectedMistral Saba
Not yet ranked: too few independent results so far.
- Blended price
- $0.300/M
- $0.200 in · $0.600 out
- Output speed
- 62 tok/s
- First answer
- 0.36 s
- Context
- 33k
- Composite37
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 (AA)not in index | 42.4%#444 | Artificial Analysis |
| Humanity's Last Exam (AA)not in index | 4.3%#432 | Artificial Analysis |
Composite
| Benchmark | default | Source |
|---|---|---|
| AA Intelligence Index | 6.5#440 | Artificial Analysis |
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 |
|---|---|---|---|---|---|---|
| Mistral | 100 tok/s | 0.38 s | $0.200 | $0.600 | 33k | – |
| Mistral (ZDR) | 23 tok/s | 0.34 s | $0.200 | $0.600 | 33k | – |
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 | – | 5.2 s |
| Summarise a 30-page report | 12,000 / 600 | $0.0028 | – | 10.1 s |
| Code edit | 6,000 / 1,500 | $0.0021 | – | 24.8 s |
| Agentic coding session | 60,000 / 4,000 | $0.014 | – | 1.1 min |
| Structured extraction | 2,000 / 200 | $0.0005 | – | 3.6 s |
See also
Data as of 9 Sept 2026. Compare with another model.