Efficient Mistral model for fast chat, extraction, and production assistants
Mistral Small 3.1 is offered by 2 providers on this page. Its reference price is $0.10 per 1M input tokens and $0.30 per 1M output tokens.
Artificial Analysis rates it 7.1 on the Intelligence Index, with 26.3 for coding and 1.2 for agentic tasks. Against its lowest blended price of $0.15 per 1M, that is roughly 47 index points per dollar, which is the value ratio the leaderboards rank on. Running one task of the Artificial Analysis suite costs about $0.0350, which reflects how many tokens its reasoning consumes rather than the unit price alone.
The context window is 128,000 tokens, with an output limit of 32,768 tokens. It supports tool use. Accepted input modalities are Text and Image. Its training knowledge cuts off at 2024-09.
Quality is independently evaluated by Artificial Analysis. Speed/latency are model-level medians.
| Provider | Tier | Input | Output | Cache read | Cache write | Context | Output limit | Status |
|---|---|---|---|---|---|---|---|---|
| Azure | Cloud | $0.10 | $0.30 | — | — | 128,000 | 32,768 | |
| Azure Cognitive Services | Cloud | $0.10 | $0.30 | — | — | 128,000 | 32,768 |
Sorted by blended price (input×0.75 + output×0.25) asc. The official channel always shows regardless of rank. Whether a gateway's low price is actually usable can't be verified.
Individual evaluations run by Artificial Analysis, on the same reasoning tier as the intelligence score above. Each benchmark has its own task set and harness, so rows are not comparable with one another. The Intelligence Index above draws on a different, newer set of evaluations.