Mistral Large 4 发布,原生多模态且总参数量达 1T
Mistral Voxtral 3
Mistral 发布 Mistral Large 4,这是一款原生多模态 MoE 模型,总参数量 1T、激活参数量 49B,并提供 1M token 上下文窗口。
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Mistral AI
Open and portable generative AI for devs and businesses
5.0•41 reviews• 4.1K followers
Open and portable generative AI for devs and businesses
5.0•41 reviews• 4.1K followers
•
- We’re committed to empower the AI community with open technology. Our open models sets the bar for efficiency, and are available for free, with fully permissive license. - Our optimized commercial models are designed for performance and are available via our flexible deployment options.
This is the 24th launch from Mistral AI. View more

Mistral Large 4
Launching today
Mistral's 1T parameter open weight frontier model
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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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Launch tags:Open Source•Developer Tools•Artificial Intelligence
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Hey PH community 👋
Excited to hunt Mistral Large 4 today!
Mistral just shipped its biggest model ever, and the team nicknamed it Le Chonk. It has 1 trillion parameters with 49 billion active, it understands text and images natively, and Mistral says it's the strongest open weight model built in the US or Europe. Mistral AI posted a short launch video on X here.
Here's some thoughts from the community:
https://x.com/simonw/status/2107479817780400577
https://x.com/ArtificialAnlys/st...
The cyber results are what stood out for me. Mistral Large 4 ranks in the top five on the Artificial Analysis Cyber Index, and on the test where a model has to reproduce a real vulnerability and then patch it, Mistral reports a score of 82%, the highest of any model. Several closed models score close to zero on that test because they refuse the task.
Heavy visual work is the other one I'd test first. It handles engineering drawings, dense charts, and gigapixel satellite images, which is where a lot of models still fall apart.
For builders, the weights land at the end of October so you can run it on your own servers. Mistral trained it from scratch on 3,800 NVIDIA Grace Blackwell GPUs in its own European datacenters, and the full benchmarks are in the announcement here.
Biggest win? This latest Mistral launch got the Pieter Levels vote of approval;)
You can try the preview API on Mistral Studio right now: https://console.mistral.ai/
Give it a spin and let the team know what you build with Mistral Large 4 🚀
PS: Tagging @arthurmensch and @sophia_yang_mistral if you're here for any additional comments/ thoughts.
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16h ago
Runner Up • AI Model Product of the Year
Previous Mistral AI Launches
ShieldstralDefine safety at runtime for text and images
Launched on August 6th, 2026
1
105
Mistral VibeI agent for long-running, multi-step work and coding
Launched on June 1st, 2026
4
155

Voxtral TTS by Mistral AIMultilingual TTS model with realistic and expressive speech
Launched on March 27th, 2026
3
156

Voxtral Transcribe 2 by MistralReal-time speech-to-text with speaker diarization
Launched on February 5th, 2026
9
261
5.0
Based on 41 reviews
Review Mistral AI?
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Reviewers see Mistral AI as a fast, lightweight model family that works well locally, on edge devices, and in real-time workloads without heavy resource demands. Users repeatedly praise strong everyday performance for summarizing, coding help, and general reasoning, while noting limits like a narrower context window and slower update pace than some US rivals. Founder feedback from the makers of Franz Messenger and others adds a consistent theme: EU hosting, GDPR-friendly privacy, multilingual support, open deployment options, and solid cost efficiency.
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+38
Summarized with AI
Pros
performance and scalability (6)
open source models (5)
open technology commitment (4)
memory efficiency (3)
cost-effective solutions (3)
support for AI community (2)
Reviews
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What's great
open source models (5)support for AI community (2)performance and scalability (6)open technology commitment (4)
Super fast and lightweight, easy to install
What needs improvement
I think it could be updated a bit more often, just like the american counterparts
vs Alternatives
ChatGPT by OpenAI
Claude by Anthropic
Perplexity for Mac
EU model - fully GDPR compliant and treats privacy as a fundamental right as opposed to a commercial right
Ratings
Ease of use
Reliability
Value for money
Customization
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175 views 7mo ago
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What's great
open source models (5)performance and scalability (6)memory efficiency (3)permissive licensing (1)
lightweight yet powerful open source model. I run it locally via ollama
What needs improvement
Context window, even optimized, can be wider.
vs Alternatives
It's european, it's fast and reliable, it is GDPR compliant
Ratings
Ease of use
Reliability
Value for money
Customization
Read more
Helpful (2)
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314 views 11mo ago
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Really impressed by how lightweight and efficient this model is. Generates solid responses without needing massive resources, which makes it super practical for local or edge use.The performance is surprisingly strong for its size -fast, coherent, and great for tasks like summarizing, coding help, or general reasoning. Definitely one of the best open models available right now.
What's great
performance and scalability (6)memory efficiency (3)
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228 views 1yr ago
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Company Info
mistral.aiApp StorePlay StoreGitHub
Mistral AI Info
Launched in 2023
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Awards
2023 Golden Kitty Awards
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