法国AI公司Mistral拥有其万亿参数的开源AI型号Mistral大4 (ML4)的权重，允许企业和政府自行下载并部署该系统。 这个模型是本月早些时候的第一个推出。
Mistral等开放量的AI开发商与OpenAI和Anthropic等封闭型提供商的竞争，这一论点在网络安全方面可能具有更大的分量，各组织希望对其数据和系统有更大的控制。
或者，正如Mistral的首席执行官Arthur Mensch所解释的那样，大赦国际应该“成为赋予权力的工具，而不是支配地位。 ” 与Chonk,Mistral 翻倍一同下降，认为在“关闭的实验室违反计算和资本”的情况下，它能够实现“最先进性能”。
公布模型的权重——为系统动画的数值训练——确保了其他公司和政府机构现在能够为自己的目的部署ML4.
Mistral 称认为其型号在性能上与中国开放量级竞争对手GLM-5.3可相媲美，后者此前被认为是世界上最优秀的开放量级模型之一——特别是在网络工作方面。 然而，Mistral的模型使用47%的每个任务代号，使得它比GLM-5.3要经济得多。
在人工分析的编码Agent指数(AI基准网站)上，当涉及代理编码任务时，该模型的排名也超过了所有其他开放模型。
“在日益严重的网络威胁下，ML4 带来最先进主权网络防御能力向全球的企业和政府提供”，称公司星期四。 “企业和公共部门机构现在可以下载、部署和拥有前沿AI，以发现、分析和应对各种代码和信息技术基础设施的威胁。”
正在通过Hugging Face及其API提供ML4的权重。
Mistral科学副总裁皮埃尔·斯托克(Pierre Stock)告诉TechCrunch，模型重量的放出意味着各组织会更能控制自己如何使用AI为自己辩护。
“具体地说，这意味着，例如，作为一个商业公司或政府，你能够获取边境情报来保护自己免受网络攻击。 他的称表示
股票公司补充说，该模型可用于“识别、协调和实时应对重大安全事件，公开采购意味着公司可以在自己的生态系统中预先部署这一模型。
虽然AI网络安全的进步正在帮助安全专业人员以比以前高得多的速度找到虫子，但斯托克继续说，鉴于“一些恶意的行为者可能试图实际利用自己的技术来攻击 ”，公司必须“尽快向每个人提供[同样的]能力。.....以提升和加强生态系统”。
另外，股票还处理了最近涉及无赖AI agents事件的关切，承认存在风险，但告诫不要过度反应。
“我们不想吓唬人。 我们认为这是一个可以解决的问题。 他的称表示
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French AI company Mistral has released the weights for its trillion-parameter open source AI model Mistral Large 4 (ML4), allowing businesses and governments to download and deploy the system themselves. Nicknamed “Le Chonk,” the model was first introduced earlier this month.
The release comes as competition between open-weight AI developers like Mistral and closed-model providers like OpenAI and Anthropic heats up, with the former arguing that businesses and governments shouldn’t have to rely on outside AI companies for access to advanced capabilities. That argument may hold more weight in cybersecurity, where organizations want more control over their data and systems.
Or, as Mistral’s CEO, Arthur Mensch, explained, AI should “be a tool for empowerment, not dominance.” With Chonk, Mistral doubles down on that position, arguing that it’s able to achieve “state-of-the-art performance” at a “fraction of the compute and capital committed by closed labs.”
The release of the model’s weights — the numerical training that animates the system — ensures that other companies and government agencies will now be able to deploy ML4 for their own purposes.
Mistral says that its model is comparable in terms of performance with a Chinese open-weight competitor, GLM-5.3, which was previously considered one of the best open-weight models in the world — particularly when it comes to cyber work. However, Mistral’s model uses 47 percent fewer tokens per task, making it significantly more economical than GLM-5.3.
The company also claims that the model outranks all other open models when it comes to agentic coding tasks on Artificial Analysis’ Coding Agent Index, an AI benchmarking site.
“Amid growing cyber threats, ML4 brings state-of-the-art sovereign cyber defense capabilities to enterprises and governments globally,” the company said Thursday. “Enterprise and public sector institutions can now download, deploy, and own frontier AI to detect, analyze, and respond to threats across code and IT infrastructure.”
The weights for ML4 are being made available on Hugging Face and via its API.
Pierre Stock, Vice President of Science at Mistral, told TechCrunch that the release of the model’s weights meant that organizations will have more control over how they use AI to defend themselves.
“Concretely, it means that, for instance, as a business company or as a government, you’re able to have access to frontier intelligence to defend yourselves against cyberattacks. Access that can’t be cut off by definition because the model is open-weighted,” he said.
Stock added that the model could be used to “identify, coordinate, and respond in real time to major security incidents, and that the open sourcing means that companies can deploy this model on-prem in their own ecosystem.
While advances in AI cybersecurity are helping security professionals to find bugs at a much higher rate than before, Stock continued, he believes it’s important for companies to “provide [this same] capability to everyone…as soon as possible to ramp up and to strengthen the ecosystem,” given that “some malicious actors might try to actually leverage their own technology to attack.”
Separately, Stock addressed concerns about recent incidents involving rogue AI agents, acknowledging the risks but cautioning against overreacting.
“We don’t want to fearmonger people. We think it’s a problem that is solvable. It’s a hard problem to have good security,” he said.
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