Mistral opens the weights of the trillion-parameter model Le Chonk
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On October 29, 2026, Mistral AI released the open weights of its trillion-parameter native multimodal model Mistral Large 4 (Le Chonk), focused on coding and defensive cybersecurity, which enterprises and governments can download and deploy themselves. Mistral said its coding ability leads open-source models: Terminal-Bench 4.0 rose from 28% to 41%, slightly above GLM-5.3's 40%, and FrontierCode 2.0 ranked first among open-source models at 19.7%, but overall intelligence still lags, with Artificial Analysis Intelligence Index v5 scoring only 26. On security, the model's average refusal rate on malicious cyber requests in JailbreakBench, StrongREJECT and AgentHarm was 96.6%. Mistral also acknowledged that the model has the potential to assist real cyberattacks, and said subsequent guardrail updates will apply only to the hosted API and future models, and will not automatically update already-downloaded checkpoints.
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Papers whose work the reports mention
- The reports mention AgentHarmAgentHarm: A Benchmark for Measuring Harmfulness of LLM AgentsMistral Large 4 (Le Chonk) open weights: aimed at coding and defensive security
ICLR 2025 · 2024-10-11 · Deep reading
- The reports mention JailbreakBenchJailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language ModelsMistral Large 4 (Le Chonk) open weights: aimed at coding and defensive security
arXiv · 2024-03-28 · Deep reading
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- WebAI Threat Watch (aithreat.io)· Media coverageMistral open-sources trillion-parameter model, self-reports it may aid cyberattacks - Artificial Intelligence(opens the original post in a new tab)
- zhiding.cnSelectedMistral open-sources trillion-parameter model Large 4, says it may assist real cyberattacks
Mistral AI released the open weights of its trillion-parameter model Mistral Large 4, and stated that the model has the potential to assist in carrying out real cyberattacks, while saying that traffic monitoring during the preview stage showed it refused black-box attacks against real targets. The company said subsequent guardrail updates will only apply to the hosted API and future released models, and will not automatically update already-downloaded checkpoints. On the cybersecurity-related portions of JailbreakBench, StrongREJECT and AgentHarm, Large 4 refused 96.6% of malicious prompts, which Mistral says is the highest refusal rate it has measured among open models; a Gartner analyst cautioned that the figure only reflects performance in its test scenarios. A security variant optimized for penetration testing, vulnerability assessment and red-team exercises is available in preview only to design partners who sign contractual assurance terms.
- Mistral AIMistral Large 4 (Le Chonk) brings intelligence, Mistral Studio puts it to work
Mistral launches Mistral Large 4 (Le Chonk) and expands the Mistral Studio enterprise platform. The new model excels at coding, defensive cybersecurity, and reasoning over complex documents and business tasks; the platform adds hosted agents and applications, workflows, enterprise context, observability, and evaluation features. The platform supports cloud, VPC, or on-premises deployment while retaining full control, and ABANCA, BNP Paribas, Capgemini and others are already using it in production.
- X@AiPoJuGe· DiscussionIn Chinese, as writtenMistral 开源了 1 万亿参数的 Le Chonk 欧洲也想在 frontier 模型里抢一席之地 闭源 vs 开源,2026 这仗才刚开打。你押哪边?(opens the original post in a new tab)
- zhiding.cnMistral open-sources trillion-parameter AI model weights, focusing on the cybersecurity domain
Mistral released the weights of Mistral Large 4, a trillion-parameter open-source AI model; enterprises and government agencies can download and deploy it themselves, with a focus on cybersecurity. Mistral claims performance comparable to GLM-5.3, 47% fewer Tokens per task, and that it surpasses all other open-source models on the Artificial Analysis agentic coding index. The weights are available on Hugging Face and via API.
- TechCrunch AIMistral releases the weights of its trillion-parameter model Mistral Large 4 (ML4), targeting cybersecurity
Mistral releases the weights of its trillion-parameter model Mistral Large 4, which governments and enterprises can deploy themselves for cyber defense. It can locally detect, analyze and respond to threats to code and IT infrastructure. Mistral says performance is comparable to GLM-5.3, using 47% fewer tokens per task, and that it leads all open-source models on the agentic coding tasks of the Coding Agent Index.
- The DecoderMistral releases Mistral Large 4 ("Le Chonk") weights: leading open-source model in coding, still behind Chinese models overall
Mistral released the weights of its largest model, Mistral Large 4 ("Le Chonk"), with about 1 trillion parameters and 52B activated per step. Terminal-Bench 4.0 rose from 28% to 41%, slightly above GLM-5.3's 40%, and FrontierCode 2.0 ranked first among open models at 19.7%, but Claude Opus 5.5 scored 46%. It scored only 26 points on the Artificial Analysis Intelligence Index v5, behind DeepSeek V4.1 Flash and GLM-5.3 at 32 points; API pricing is $0.70 per million input tokens and $2.10 per million output tokens.
- WIRED Security and AIMistral says its AI model Le Chonk has overtaken China in the open-weight race
Mistral says its trillion-parameter model Le Chonk has become the world's best open-weight model in automated programming and cybersecurity, matching or surpassing models from Chinese labs such as DeepSeek and Z.ai. The model was trained on cybersecurity and programming problems of increasing difficulty, and the final version is now freely available. Security company Sophos cautions that open-weight models can be misused, and any advanced model could go out of control without careful oversight.
- Mistral AIMistral Large 4 (Le Chonk) open weights: aimed at coding and defensive security
Mistral AI released the weights of Mistral Large 4 (Le Chonk), a 1 trillion parameter native multimodal model focused on open-source coding and defensive security. It scores 51% on the Artificial Analysis Cyber Index, with an average refusal rate of 96.6% on malicious cyber requests in JailbreakBench, StrongREJECT and AgentHarm.
Related discussion
- Older than 72 hours · Not included in the 72-hour figures
- WebAI Threat Watch (aithreat.io)Mistral open-sources trillion-parameter model, self-reports it may aid cyberattacks - Artificial Intelligence(opens the original post in a new tab)
- X@ApiSerpentMistral released Le Chonk yesterday. 1 trillion parameters. Open weights. On Hugging Face. Top open-weight coding scor…(opens the original post in a new tab)
- X@TheCharismaCat1Mistral says it has released the weights of Mistral Large 4, a 1-trillion-parameter model under a modified MIT licence.…(opens the original post in a new tab)
- X@polderbaseMistral released the weights for Mistral Large 4: a frontier-grade model you can run and own. The gap between closed AP…(opens the original post in a new tab)
- X@AxSaucedoMistral Large 4 "Le Chonk" is now open weights 🇪🇺🚀🇫🇷 This is Mistral's 1 trillion parameter multimodal MoE, with three…(opens the original post in a new tab)
- X@hfcxgexfThe biggest structural news in the AI world this week may not be which model a big company released, but an open-source model: Le Chonk, 1T parameters, fully open source, leading on coding benchmarks. Self-hosting players finally have a big one that can compete—no longer having to rent APIs and defer to big companies. My judgment: every bit stronger an open-source model gets, the big companies' pricing power…(opens the original post in a new tab)
- X@dagcannural1 trilyon parametrelik bir model artık indirilebilir 🏔 Mistral, Large 4'ün ağırlıklarını Hugging Face'te yayınladı. A…(opens the original post in a new tab)
1 likes·Nov 6 17:41Collect
- X@AlexVoss88298 gigabytes. That is the smallest download for Mistral's "open" trillion-parameter model, and the fine print is bigge…(opens the original post in a new tab)
- X@_moelevinMistral opened the weights on its best bug-hunting model and called it Le Chonk. Moonshot won't release anything like t…(opens the original post in a new tab)
- X@ConnorclawMistral arrives at coding club wielding her baguette sword. 🥖⚔ Mistral Large 4 “Le Chonk” now has open weights, focus…(opens the original post in a new tab)
- X@checkZaranz4uMistral's official account just showcased Large 4: 133 agents divide the work on the latest Django CVE to explore the code and reproduce the vulnerability, then Le Chonk directly applies the patch, the whole process being triage → repro → patch. Put plainly, this security research work is also about to open…(opens the original post in a new tab)
- X@petedianoMistral just released the open weights for its 1-trillion-parameter model “Le Chonk”. It leads open models on coding a…(opens the original post in a new tab)
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