Compare Mistral Small 3.1 24B from Mistral AI and Mistral Small 3.2 24B from Mistral AI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the OpenRouter API.




Mistral Small 3.1 24B and Mistral Small 3.2 24B are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.
Mistral Small 3.1 24B, from Mistral AI, has a 128,000-token context window and is priced at $0.351/M tokens input, $0.555/M tokens output on OpenRouter.
Mistral Small 3.2 24B, from Mistral AI, has a 256,000-token context window and is priced at $0.075/M tokens input, $0.20/M tokens output on OpenRouter.
| Attribute | Mistral Small 3.1 24B | Mistral Small 3.2 24B |
|---|---|---|
| Input price | $0.351/M tokens | $0.075/M tokens |
| Output price | $0.555/M tokens | $0.20/M tokens |
| Context window | 128,000 tokens | 256,000 tokens |
| Intelligence Index | Not available | Not available |
| Coding Index | Not available | Not available |
| Agentic Index | Not available | Not available |
| Latency (p50) | 0.77 s | 0.69 s |
| Throughput (p50) | 31.0 tok/s | 33.0 tok/s |
Mistral Small 3.2 24B is cheaper than Mistral Small 3.1 24B on OpenRouter: Mistral Small 3.2 24B costs $0.075/M tokens input and $0.20/M tokens output, while Mistral Small 3.1 24B costs $0.351/M tokens input and $0.555/M tokens output.
Mistral Small 3.2 24B has the longer context window at 256,000 tokens, compared with 128,000 tokens for Mistral Small 3.1 24B.
Mistral Small 3.2 24B is faster on OpenRouter, generating a median 33.0 tokens per second compared with 31.0 tokens per second for Mistral Small 3.1 24B.