Mistral: Mistral Small 3.1 24B
Mistral Small 3.1 24B offers vision and function-calling at a very competitive price, but without its own benchmark data it relies on the free variant's scores as a proxy — a reasonable lightweight option for multimodal tool-use workflows.
Assessment date: March 12, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
Mistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities. It provides state-of-the-art performance in text-based reasoning and vision tasks, including image analysis, programming, mathematical reasoning, and multilingual support across dozens of languages. Equipped with an extensive 128k token context window and optimized for efficient local inference, it supports use cases such as conversational agents, function calling, long-document comprehension, and privacy-sensitive deployments. The updated version is Mistral Small 3.2
Capabilities
Architecture
| Modality | Text + Image → Text |
| Tokenizer | Mistral |
| Parameters | 24B |
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.35 | $0.000350 |
| Output | $0.56 | $0.000560 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
Leaderboard Categories
External Resources
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: March 13, 2026 7:52 pm