Mistral Large 4
Mistral's 1T parameter open weight frontier model
Mistral Large 4 launched on October 6, 2026 with 189 votes, #44 of 3,161 launches that month and more than 99% of that year's launches.
What it does
Mistral Large 4 (aka Le Chonk) is Mistral's largest model yet: a natively multimodal mixture of experts model with 1T total and 49B active parameters and a 1M token context window. Mistral says it is the strongest open weight model from the US or Europe, and it ranks top 5 on the Artificial Analysis Cyber Index. It was trained in Mistral's own European datacenters. The preview API is live today on Mistral Studio, with open weights due by the end of October.
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Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3Feb 2026 · github.com · ▲316I wanted to share our new speech to text model, and the library to use them effectively. We're a small startup (six people, sub-$100k monthly GPU budget) so I'm proud of the work the team has done to create streaming STT models with lower word-error rates than OpenAI's largest Whisper model. Admittedly Large v3 is a couple of years old, but we're near the top the HF OpenASR leaderboard, even up against Nvidia's Parakeet family. Anyway, I'd love to get feedback on the models and software, and hear about what people might build with it.
- L2LoraLand – 25 fine-tuned LLMs that beat GPT-42024 · predibase.com · ▲24
Hi all, today we're excited to launch LoraLand: 25 fine-tuned mistral-7b models that outperform #gpt4 on task-specific applications ranging from sentiment detection to question answering. All 25 fine-tuned models… - Outperform GPT-4, GPT-3.5-turbo, and mistral-7b-instruct for specific tasks - Are cost-effectively served from a single GPU through LoRAX - Were trained for less than $8 each on average You can prompt all of the fine-tuned models today and compare their results to mistral-7b-instruct in real time! We'd love to hear comments and feedback from the community
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