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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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Latest developments

2 developments
  1. · 2 reports
    Mistral releases the Large 4 model and the Studio enterprise platform
    zhiding.cn: Mistral open-sources trillion-parameter model Large 4, says it may assist real cyberattacks
  2. · 5 reports
    Mistral says the Le Chonk open-source model surpasses Chinese models
    Mistral AI: Mistral Large 4 (Le Chonk) open weights: aimed at coding and defensive security

Progress timeline

Nov 9
  1. zhiding.cnSelected
    Mistral 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.

Nov 6
Nov 5
  1. Mistral AI
    Mistral 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.

Oct 31
Oct 30
  1. zhiding.cn
    Mistral 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.

  2. TechCrunch AI
    Mistral 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.

Oct 29
  1. The Decoder
    Mistral 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.

  2. WIRED Security and AI
    Mistral 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.

  3. Mistral AI
    Mistral 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.

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