{"id":169485,"date":"2025-12-10T20:38:58","date_gmt":"2025-12-10T20:38:58","guid":{"rendered":"https:\/\/ushopwell.com\/ublog\/a-new-open-weights-ai-coding-model-is-closing-in-on-proprietary-options\/"},"modified":"2025-12-10T20:38:58","modified_gmt":"2025-12-10T20:38:58","slug":"a-new-open-weights-ai-coding-model-is-closing-in-on-proprietary-options","status":"publish","type":"post","link":"https:\/\/ushopwell.com\/ublog\/a-new-open-weights-ai-coding-model-is-closing-in-on-proprietary-options\/","title":{"rendered":"A new open-weights AI coding model is closing in on proprietary options"},"content":{"rendered":"<div>\n<p>On Tuesday, French AI startup Mistral AI <a href=\"https:\/\/mistral.ai\/news\/devstral-2-vibe-cli\">released<\/a> Devstral 2, a 123 billion parameter open-weights coding model designed to work as part of an autonomous software engineering agent. The model achieves a 72.2 percent score on <a href=\"https:\/\/www.swebench.com\/\">SWE-bench Verified<\/a>, a benchmark that attempts to test whether AI systems can solve real GitHub issues, putting it among the top-performing open-weights models.<\/p>\n<p>Perhaps more notably, Mistral didn\u2019t just release an AI model, it released a new development app called Mistral Vibe. It\u2019s a command line interface (CLI) similar to <a href=\"https:\/\/arstechnica.com\/ai\/2025\/10\/claude-code-gets-a-web-version-but-its-the-new-sandboxing-that-really-matters\/\">Claude Code<\/a>, <a href=\"https:\/\/arstechnica.com\/ai\/2025\/05\/openai-introduces-codex-its-first-full-fledged-ai-agent-for-coding\/\">OpenAI Codex<\/a>, and <a href=\"https:\/\/arstechnica.com\/ai\/2025\/06\/google-is-bringing-vibe-coding-to-your-terminal-with-gemini-cli\/\">Gemini CLI<\/a> that lets developers interact with the Devstral models directly in their terminal. The tool can scan file structures and Git status to maintain context across an entire project, make changes across multiple files, and execute shell commands autonomously. Mistral released the CLI under the Apache 2.0 license.<\/p>\n<p>It\u2019s always wise to take AI benchmarks with a large grain of salt, but we\u2019ve heard from employees of the big AI companies that they pay very close attention to how well models do on SWE-bench Verified, which presents AI models with 500 real software engineering problems pulled from GitHub issues in popular Python repositories. The AI must read the issue description, navigate the codebase, and generate a working patch that passes unit tests. While some AI researchers have <a href=\"https:\/\/epoch.ai\/blog\/what-skills-does-swe-bench-verified-evaluate\">noted<\/a> that around 90 percent of the tasks in the benchmark test relatively simple bug fixes that experienced engineers could complete in under an hour, it\u2019s one of the few standardized ways to compare coding models.<\/p>\n<p><a href=\"https:\/\/arstechnica.com\/ai\/2025\/12\/mistral-bets-big-on-vibe-coding-with-new-autonomous-software-engineering-agent\/\">Read full article<\/a><\/p>\n<p><a href=\"https:\/\/arstechnica.com\/ai\/2025\/12\/mistral-bets-big-on-vibe-coding-with-new-autonomous-software-engineering-agent\/#comments\">Comments<\/a><\/p>\n<\/div>\n<p class=\"wpematico_credit\"><small>Powered by <a href=\"http:\/\/www.wpematico.com\" target=\"_blank\">WPeMatico<\/a><\/small><\/p>\n","protected":false},"excerpt":{"rendered":"<p>On Tuesday, French AI startup Mistral AI released Devstral 2, a 123 billion parameter open-weights coding model designed to work as part of an autonomous software engineering agent. The model achieves a 72.2 percent score on SWE-bench Verified, a benchmark that attempts to test whether AI systems can solve real GitHub issues, putting it among the top-performing open-weights models. Perhaps more notably, Mistral didn\u2019t just release an AI model, it&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[241],"tags":[],"class_list":["post-169485","post","type-post","status-publish","format-standard","hentry","category-technology"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>A new open-weights AI coding model is closing in on proprietary options - UshopWell.com<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ushopwell.com\/ublog\/a-new-open-weights-ai-coding-model-is-closing-in-on-proprietary-options\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A new open-weights AI coding model is closing in on proprietary options - UshopWell.com\" \/>\n<meta property=\"og:description\" content=\"On Tuesday, French AI startup Mistral AI released Devstral 2, a 123 billion parameter open-weights coding model designed to work as part of an autonomous software engineering agent. The model achieves a 72.2 percent score on SWE-bench Verified, a benchmark that attempts to test whether AI systems can solve real GitHub issues, putting it among the top-performing open-weights models. 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