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Introducing Mistral 3 | Mistral AI https://mistral.ai/news/mistral-3
Introducing Mistral Code | Mistral AI https://mistral.ai/news/mistral-code
Introducing the Mistral 3 family of models: Frontier intelligence at all sizes. Apache 2.0. Details in 🧵 https://x.com/MistralAI/status/1995872766177018340
Magistral | Mistral AI https://mistral.ai/news/magistral
Mistral Small 3 | Mistral AI https://mistral.ai/news/mistral-small-3
Mistral Small 3.1 | Mistral AI https://mistral.ai/news/mistral-small-3-1
Voxtral | Mistral AI https://mistral.ai/news/voxtral
In 2025 small open-source models died (or are rather run on personal consumer hardware) Small: <15B Medium: 15 – 70B Large: >70B https://x.com/scaling01/status/1996976642208440371
American open-source is making a comeback in 2026 Arcee just started cooking Trinity Large which will be released in early 2026 It will have 420@13B params and is trained on 2048 B300 with 20T tokens https://x.com/scaling01/status/1995616210109825447
Introducing Trinity Mini from @arcee_ai, an open-weight 26B sparse MoE model that activates just 3B parameters per token while delivering frontier-class reasoning. AI natives can now use Trinity Mini on Together AI — and benefit from reliable inference for production-scale https://x.com/togethercompute/status/1995594629505573338
Introducing Trinity, the start of a new open-weight MoE family. Rolling out today today: Trinity-Mini (26B-A3B) Trinity-Nano-Preview (6B-A1B) Download on HuggingFace. Free for limited time on OpenRouter. https://x.com/arcee_ai/status/1995600354374025395
Today, we are introducing Trinity, the start of an open-weight MoE family that businesses and developers can own. Trinity-Mini (26B-A3B) Trinity-Nano-Preview (6B-A1B) Available Today on Huggingface. https://x.com/latkins/status/1995592664637665702
🎉 Congratulations to the Mistral team on launching the Mistral 3 family! We’re proud to share that @MistralAI, @NVIDIAAIDev, @RedHat_AI, and vLLM worked closely together to deliver full Day-0 support for the entire Mistral 3 lineup. This collaboration enabled: • NVFP4 https://x.com/vllm_project/status/1995890057224618154
Europe still has one frontier model maker that can generally keep pace with Chinese open weights models, though no reasoner for Mistral 3 yet means they are behind the curve of actual performance – DeepSeek r1 got 71.5% on GPQA Diamond (& 1-shot, not 5-shot) back in January. https://x.com/emollick/status/1996068920596594932
I want to especially thank @MistralAI for releasing the base models for Mistral 3. Fewer companies are sharing base models and this opens many use cases from custom instruct to non-instruct cases”” / X https://x.com/QuixiAI/status/1996272948378804326
Meet the Ministral 3 models from @MistralAI! – 3B, 8B, and 14B models – Instruct, reasoning, and base variants – Supports tool use and vision input – Open-weights, Apache 2.0 licensed https://x.com/lmstudio/status/1995908228526604451
Mistral 3 is now available on Ollama v0.13.1 (currently in pre-release on GitHub). 14B: ollama run ministral-3:14b 8B: ollama run ministral-3:8b 3B: ollama run ministral-3:3b Please update to the latest Ollama. https://x.com/ollama/status/1995885696360566885
Mistral releases Ministral 3, their new reasoning and instruct models! 🔥 Ministral 3 comes in 3B, 8B, and 14B with vision support and best-in-class performance. Run the 14B models locally with 24GB RAM. Guide + Notebook: https://x.com/UnslothAI/status/1995874975631503479
NEW: @MistralAI released a fantastic family of multimodal models, Ministral 3. You can fine-tune them for free on Colab using TRL ⚡️, supporting both SFT and GRPO https://x.com/SergioPaniego/status/1996257877871509896
NEW: @MistralAI releases Mistral 3, a family of multimodal models, including three start-of-the-art dense models (3B, 8B, and 14B) and Mistral Large 3 (675B, 41B active). All Apache 2.0! 🤗 Surprisingly, the 3B is small enough to run 100% locally in your browser on WebGPU! 🤯 https://x.com/xenovacom/status/1995879338583945635
Run Mistral Large 3 on Ollama’s cloud: ollama run mistral-large-3:675b-cloud”” / X https://x.com/ollama/status/1996682858933768691
Super nice to see Mistral Large 3 as the #1 OSS model for coding on lmarena 🥳😎🙌 And the spoiler alert! 👀👀”” / X https://x.com/sophiamyang/status/1996587296666128398
Support for running Mistral Large 3 locally will be available in Ollama soon.”” / X https://x.com/ollama/status/1996683156817416667
The Bert-Nebulon Alpha Stealth model is live now as @MistralAI’s new Mistral Large 3! Try the full release now on OpenRouter: https://x.com/OpenRouterAI/status/1995904288560988617
The world’s best small models–Ministral 3 (14B, 8B, 3B), each released with base, instruct and reasoning versions. https://x.com/MistralAI/status/1995872768601325836
Mistral Large 3 debuts as the #1 open source coding model on the @arena leaderboard. We’d love for you to try it! More on coding in a few days… 👀 https://x.com/MistralAI/status/1996580307336638951
Mistral AI raises 1.7B€ to accelerate technological progress with AI | Mistral AI https://mistral.ai/news/mistral-ai-raises-1-7-b-to-accelerate-technological-progress-with-ai
.@Stanford researchers showed what happens when you shrink a multimodal model. They look specifically at how reducing the size of the LLM inside a multimodal model affects the model’s overall abilities. ➡️ The part that suffers most is vision. And perception really collapses. https://x.com/TheTuringPost/status/1994548273387032753
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