Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 32B Instruct leads with 12.0% higher average benchmark score. Overall, Qwen2.5-Coder 32B 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-32B-Instruct is a 32-billion-parameter code-specialized model from Alibaba, released in November 2024 and trained on a large corpus spanning 92 programming languages including C, Python, Java, Rust, and domain-specific languages. The model was designed to provide competitive code generation, repair, and reasoning capabilities as an open-weight alternative for developers building code assistant tools and automated review pipelines. Its 128K context window enables whole-file and multi-file code comprehension, making it particularly suited for complex repository-level tasks.
5 months newer

Codestral 22B
Mistral AI
2024-05-29
Qwen2.5-Coder 32B Instruct
Alibaba / Qwen
2024-11-12
Average performance across 1 common benchmarks
Codestral 22B
Qwen2.5-Coder 32B Instruct
Performance comparison across key benchmark categories
Codestral 22B
Qwen2.5-Coder 32B Instruct
Available providers and their performance metrics
Codestral 22B
Qwen2.5-Coder 32B Instruct
Codestral 22B
Qwen2.5-Coder 32B Instruct