7 Best Local LLMs You Can Run for Coding

Qwen3-Coder-480B-A35B-Instruct is a leading local coding language model, achieving a 69.6% score on SWE-bench Verified, which positions it as the top open coding model if the necessary hardware is available for deployment. This model exemplifies a shift in the "local versus cloud" debate by narrowing the gap between self-hosted and cloud-hosted models in terms of capability, making factors like GPU budget and privacy more critical in decision-making. The article evaluates various local coding models based on their agentic coding capability, VRAM requirements, license fitness for commercial use, runtime support, context window size, and integration with agent scaffolds, highlighting models like Qwen3-Coder-30B, Devstral Small, and DeepSeek-Coder-V2 as viable options for those with different hardware capabilities and coding needs. Licensing varies across models, with Apache 2.0 and MIT licenses allowing commercial use, while others like Codestral require additional agreements, emphasizing the importance of understanding the legal framework before deploying these tools in production environments. The article concludes by advising users to choose models based on their hardware capacity, licensing needs, and desired operational setup, indicating that modern local models now offer a strong alternative for privacy-sensitive and cost-effective coding tasks.

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