Mistral Small 3.1 24B (2503)
by NanoGPT · family mistral-small · listed Apr 2025VW
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.
Current rates USD per 1M tokens
Input$0.10
Output$0.30
Cache read$0.05
Cache write—
Against the market
On the record
- Model id
mistralai/mistral-small-3.1-24b-instruct- Context window
- 128K tokens
- Max output
- 102K tokens
- Input modalities
- text, image
- Output modalities
- text
- Reasoning
- no
- Tool calls
- no
- Open weights
- yes
- Knowledge cutoff
- —
- Released
- 2025-04-15
- Last updated
- 2025-04-15
- Provider docs
- docs.nano-gpt.com
Back of the envelope
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