Best Local Coding LLMs Transform Development In 2025

Disclosure: Some of the links on this site are affiliate links, meaning that if you click on one of the links and purchase an item, I may receive a commission. All opinions however are my own.

Best local coding LLMs are changing how developers code, offering powerful AI tools that run on personal devices. These models boost productivity, ensure data privacy, and cut API costs. From autocompletion to debugging, they bring AI directly into workflows. Even non-coders embrace “vibe coding,” a trend where beginners use these tools to create projects. As local LLMs grow popular, developers and data scientists rely on them for tasks like refactoring codebases and reasoning across projects. Here’s a rundown of the top five best local coding LLMs you can run yourself in 2025.

Best Local Coding LLMs to Boost Your Workflow

Know the best local coding LLMs

These models shine for their speed, versatility, and ability to handle complex coding tasks locally.

  • GLM-4-32B-0414: Tsinghua University’s Zhipu AI model matches GPT-4o’s power. Trained on 15T reasoning-heavy data, it excels in code generation and analysis. Its 32k-token context handles large codebases, making it ideal for refactoring or multi-file tasks.
  • DeepSeekCoder V2: This mixture-of-experts model comes in 16B and 236B variants. It supports 338 programming languages with a 128k-token context. The 16B runs on single GPUs for quick code completion, while the 236B tackles project-scale coding.

Also Read: Threads Statistics: Active Users, Revenue & Growth

  • Qwen3-Coder: Alibaba Cloud’s model, with 35B and 480B versions, trained on 7.5T code-heavy data. It supports 350+ languages and a 256k-token context, extendable to 1M. The 35B runs on high-end GPUs, perfect for agentic coding tasks.
  • Codestral: Mistral AI’s 22B and 7B models cover 80+ languages with a 32k-token context. The 22B runs fast on single GPUs for live editing. Its weights are free for research under a non-commercial license.
  • Code Llama: Meta’s family (7B, 13B, 34B, 70B) includes Python and Instruct variants. With up to 100k-token contexts, the 7B/13B models run on laptops, ideal for IDE copilots and data science workflows.

Best local coding LLMs empower developers to code smarter while keeping data secure. From vibe coding to heavy-duty projects, these tools are must-haves. Explore them to elevate your coding game in 2025’s AI-driven world.

More News To Read: Google App For Windows Boosts Productivity In 2025

Meta Whistleblower Leads Anti-Zuckerberg Rally

Scroll to Top