Mistral 3
Mistral's MoE flagship + edge model family — Apache 2.0, multimodal, reasoning
0About Mistral 3
Mistral's December 2025 model family: Mistral Large 3 (flagship sparse MoE, 41B active / 675B total parameters, Apache 2.0) plus the Ministral 3 series (dense 3B, 8B, 14B edge models). Mistral Large 3 is Mistral's first MoE since Mixtral, with multimodal capabilities and #2 ranking on LMArena for OSS non-reasoning models. Ministral 14B reasoning variant scores 85% on AIME '25. All released under Apache 2.0.
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Key Features
Mistral 3 Pros & Cons
✅ Pros
- +Apache 2.0 license — truly free for commercial use, no restrictions
- +MoE architecture in Mistral Large 3 delivers high quality at lower inference cost than dense 675B
- +Ministral series covers the full spectrum: 3B for embedded devices up to 14B for edge servers
- +85% AIME '25 for Ministral 14B reasoning — strong math reasoning at edge scale
- +Multimodal image understanding built into Ministral models across 40+ languages
- +#2 on LMArena OSS leaderboard validates real-world chat quality
⚠️ Cons
- −Mistral Large 3 at 675B total parameters requires significant multi-GPU infrastructure to self-host
- −Context window not disclosed in launch announcement — unclear for production planning
- −API pricing not detailed in announcement — check mistral.ai/pricing for current rates
- −Released December 2025, so less community tooling than Llama or older Mistral models
Who Is Mistral 3 Best For?
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