Mistral再开源！发布代码模型Devstral 2及原生CLI，但大公司被限制商用

Core Insights - Mistral AI has launched its next-generation code model series, Devstral 2, which includes two models: Devstral 2 (123B parameters) and Devstral Small 2 (24B parameters) [1][2] - The rapid release of these models, following the Mistral 3 series, indicates a strong momentum in the European AI landscape [4] - Mistral AI's expansion in Europe and the return of Turing Award winner Yann LeCun to Europe for entrepreneurship suggest a promising future for AI in the region [5] Model Highlights - Devstral 2 is a state-of-the-art (SOTA) programming model with 123 billion parameters and a context window of 256K, achieving a score of 72.2% on SWE-bench Verified, establishing it as one of the best open-weight models [9] - Devstral Small 2, with 24 billion parameters, scored 68.0% on SWE-bench Verified, demonstrating competitive performance while being lightweight enough for local deployment on consumer-grade hardware [10][11] - Devstral 2 outperforms DeepSeek V3.2 with a win rate of 42.8% and a loss rate of 28.6%, although it still trails behind the closed-source model Claude Sonnet 4.5 [15] Licensing and Usage - Devstral 2 is released under a modified MIT license, which includes a revenue cap clause that restricts companies with a global consolidated monthly revenue exceeding $20 million from exercising rights under this license [18][21] - Companies exceeding this revenue threshold must contact Mistral AI for commercial licensing or use their paid API services [22] Mistral Vibe CLI - Mistral Vibe CLI is an open-source command-line coding assistant powered by Devstral, allowing users to explore, modify, and execute changes across entire codebases using natural language [24][25] - The CLI offers features such as file operations, code search, version control, and command execution, enhancing developer productivity [26][29] - Mistral Vibe CLI is integrated with existing development environments and is available as an extension for IDEs like Zed [30][31] Deployment Recommendations - Devstral 2 is optimized for data center GPUs, requiring at least four H100-level GPUs for deployment, while Devstral Small 2 is designed for single GPU operation and can run on a variety of NVIDIA systems [33][34] - Devstral Small 2 can also operate on consumer-grade GPUs and CPU configurations without dedicated GPUs, making it accessible for a wider range of users [35]