Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 7B Instruct leads with 5.3% higher average benchmark score. Overall, Qwen2.5-Coder 7B Instruct is the stronger choice for coding tasks.
Mistral AI
Codestral is a 22-billion-parameter code-specialized model from Mistral AI, released in May 2024 as the company's first dedicated coding model, trained with focus on fill-in-the-middle (FIM) completion, code generation, and repair across 80+ programming languages. Unlike Mistral's general-purpose Apache 2.0 models, Codestral was released under a separate non-production research license, reflecting its positioning as a professional coding tool requiring commercial API access for production deployment. Its FIM support made it particularly valued for IDE integrations and code completion tools that need to insert code within existing contexts rather than only appending to the end.
Alibaba / Qwen
Qwen2.5-Coder-7B-Instruct is a 7-billion-parameter code-specialized model from Alibaba, released in November 2024 as part of the Qwen2.5-Coder family, trained on a curated corpus spanning 92 programming languages with emphasis on code generation, debugging, and fill-in-the-middle completion. Built on the Qwen2.5 architecture, it extends the base series' improvements in instruction-following and long-context handling to coding-specific tasks within a compact deployable footprint. It became popular for integration into IDE extensions, CI pipelines, and self-hosted code assistant tools.
5 months newer

Codestral 22B
Mistral AI
2024-05-29
Qwen2.5-Coder 7B Instruct
Alibaba / Qwen
2024-11-12
Average performance across 1 common benchmarks
Codestral 22B
Qwen2.5-Coder 7B Instruct
Performance comparison across key benchmark categories
Codestral 22B
Qwen2.5-Coder 7B Instruct
Available providers and their performance metrics
Codestral 22B
Qwen2.5-Coder 7B Instruct
Codestral 22B
Qwen2.5-Coder 7B Instruct