Mistral 发布开放权重为Mistral大4提供公司"Le Chonk"AI型号的主权控制。
Mistral AI SAS今天的宣布其前沿型号Mistral Large 4的可获性被昵称为"Le Chonk"，该公司迄今为止最有能力的大语言型号，最初是3周前预览的发布。
拥有1兆个参数和520亿个活性参数，ML4是本土多式，并且又接受了三周的强化培训和客户测试。 称公司正在成为世界上最优秀的开放代理编码模型之一，以最先进网络防御能力的象征性成本的一小部分提供领先性能。
“ML4 OSS展示了我们科学团队快速创新的能力，” “在ML4预览的基础上，开放量级继续强化学习培训，并取得实质性成果，没有饱和的迹象。”
该公司在3,800 Nvidia公司对ML4进行了培训。 Grace Blackwell)在其欧洲数据中心的图形处理单元中实现高真实性能，用于工具使用和编码，由对其基础设施的端到端控制所驱动，并在模型开发期间实现硬件优化的能力。
开放权重指公司可以在自己的硬件上，在自己的防火墙内，并运行敏感数据而不向云或外方曝光。 以Mistral的模式，公司将拥有西方开发的模式来与市场上众多超大型的中国编码模式相竞争，例如北京Zhipu华尚科技有限公司的GLM家族和北京MoonshotAI科技有限公司的Kimi家族。
“开源对于确保最先进 AI不至于被集中在少数演员的手中是至关重要的，”称联合创始人和首席执行官Arthur Mensch. “其他实验室拥有数以千亿计的融资来发展同等能力；在三年内，Mistral 融资大约60亿美元。”
由于其训练制度，ML4在许多其他前沿模型中出名，在人工分析编码Agent指数上甚至与中国制造的GLM-5.3等顶级模型相竞争，同时平均每任务使用47%的代币。
在测试终端内代理编码的终端-Bench 4.0上，ML4从28%攀升到41%，捆绑了GLM-5.3作为编码agents的最佳模型。
Mistral为ML4提供了三种推理模式：低，中和高。 团队可以使用这个方法将推理深度与任务相匹配，而无需调整提示，这样可能效果较差，使得推理能够将快速的日常任务相适应来深入研究极其复杂的问题。 这使得开发者和企业用户可以控制每个任务的令牌使用。
公司称发布ML4代表新一代的Mistral模型，涵盖所有模式。 它沿用了Voxtral 3的最近发布，一个由语音模型和语音agents组成的家族。 Mistral计划在未来几个月继续从这个家族中释放出更多的模型。
图像：SiliconANGLE/Mistral AI Vibe; Mistral AI
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Mistral releases open weights for Mistral Large 4, providing sovereign control for the company’s ‘Le Chonk’ AI model
Mistral AI SAS today announced the availability of the open weights of its frontier model Mistral Large 4, nicknamed “Le Chonk,” the company’s most capable large language model to date, initially released in preview three weeks ago.
With 1 trillion parameters and 52 billion active parameters, ML4 is natively multimodal and has received three additional weeks of reinforcement training and customer testing. The company says it’s becoming one of the best open agentic coding models in the world, offering leading performance at a small fraction of the token cost with state-of-the-art cyber defense capabilities.
“ML4 OSS showcases our science team’s ability to innovate at speed,” said Vice President of Science Pierre Stock. “Building on the ML4 Preview, the open-weight version continues reinforcement learning training and delivers substantial gains with no signs of saturation.”
The company trained ML4 on 3,800 Nvidia Corp. Grace Blackwell graphics processing units in its European data centers to achieve high-fidelity performance for tool use and coding, driven by end-to-end control of its infrastructure and the ability to optimize for hardware during model development.
Open weights mean companies can take the model and deploy it on their own hardware, within their own firewalls, and run sensitive data without exposing it to the cloud or outside parties. With Mistral’s model, companies will have a Western-developed model to compete with the multitude of ultra-large Chinese coding models on the market, such as the GLM family from Beijing Zhipu Huazhang Technology Co. Ltd. and the Kimi family from Beijing Moonshot AI Technology Co. Ltd.
“Open source is essential to ensure state-of-the-art AI does not end up concentrated in the hands of a few actors,” said co-founder and Chief Executive Arthur Mensch. “Other labs have raised hundreds of billions to develop equivalent capabilities; in three years, Mistral raised roughly $6 billion.”
Because of its training regimen, ML4 stands out among many other frontier models, rivaling even top models such as Chinese-built GLM-5.3 on the Artificial Analysis Coding Agent Index while using 47% fewer tokens per task on average.
On Terminal-Bench 4.0, which tests agentic coding in the terminal, ML4 climbed from 28% to 41%, tying GLM-5.3 as the best model for coding agents.
Mistral offers three reasoning modes for ML4: low, medium and high. Teams can use this to match reasoning depth to the task without adjusting prompts, which can be less effective, allowing reasoning to fit quick everyday tasks to deep work on extremely complex problems. This allows developers and enterprise users to control token use per task.
The company said the release of ML4 represents a new generation of Mistral models spanning all modalities. It follows the recent launch of Voxtral 3, a family of voice models and voice agents. Mistral plans to continue to release additional models from this family in the coming months.
Imags: SiliconANGLE/Mistral AI Vibe; Mistral AI
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