Mistral Small 3.1
Mistral's 24B multimodal open-source model — beats GPT-4o Mini, Apache 2.0
0Visit Mistral Small 3.1
mistral.ai/news/mistral-small-3-1About Mistral Small 3.1
Mistral Small 3.1, released March 17, 2025, is a 24B open-source model that adds multimodal vision and a 128k context window to Mistral Small 3. Apache 2.0 license. Outperforms Gemma 3 and GPT-4o Mini on text and multimodal benchmarks at 150 tokens/second. Runs on a single RTX 4090 or Mac with 32GB RAM — making it the first open-source small model to surpass leading proprietary competitors across text, vision, multilingual, and long-context tasks.
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Key Features
Mistral Small 3.1 Pros & Cons
✅ Pros
- +First open-source small model to outperform GPT-4o Mini and Gemma 3 on both text and multimodal benchmarks
- +Apache 2.0 license — no commercial restrictions, fully open for fine-tuning and redistribution
- +Runs on consumer hardware (RTX 4090 or 32GB Mac) — no expensive GPU cluster needed
- +128k context window enables long-document and agentic tasks at the small-model tier
- +150 tokens/second inference speed is fast enough for real-time applications
- +Both base and instruct checkpoints released — strong starting point for fine-tuning specialized models
⚠️ Cons
- −Superseded by Mistral Small 4 (March 2026) which is faster, larger, and adds reasoning
- −Vision capabilities, while present, are not as polished as GPT-4o Vision for complex document tasks
- −No proprietary API inference at the scale of OpenAI — Mistral API capacity can lag during high-demand periods
- −24B still requires a capable GPU — not practical for edge or mobile deployment
Who Is Mistral Small 3.1 Best For?
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