Building upon Mistral Small 3 (2501), Mistral Small 3.1 (2503) adds state-of-the-art vision understanding and enhances long context capabilities up to 128k tokens without compromising text performance. With 24 billion parameters, this model achieves top-tier capabilities in both text and vision tasks.
Mistral Small 3.1 24B (2503) is offered by 2 providers on this page. Its reference price is $0.351 per 1M input tokens and $0.555 per 1M output tokens. The lowest paid channel is NanoGPT at $0.10 / $0.30 per 1M, about 3.5× below the reference price. That channel is a third-party gateway, so confirm its availability and rate limits before depending on it.
The context window is 128,000 tokens, with an output limit of 128,000 tokens. Accepted input modalities are Text and Image. The weights are open, so it can also be self-hosted or served through a gateway of your choice. Providers report the capability flags inconsistently, so verify a specific feature against the host you plan to use. Its training knowledge cuts off at 2024-06.
| Provider | Tier | Input | Output | Cache read | Cache write | Context | Output limit | Status |
|---|---|---|---|---|---|---|---|---|
| NanoGPT | Gateway | $0.10 | $0.30 | $0.05 | — | 128,000 | 102,400 | |
| Cloudflare Workers AI | Cloud | $0.35 | $0.56 | — | — | 128,000 | 128,000 |
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.