Comprehensive side-by-side LLM comparison
Qwen2.5 32B Instruct leads with 5.8% higher average benchmark score. Overall, Qwen2.5 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
Qwen2.5-32B-Instruct is a 32-billion-parameter open-weight model from Alibaba's Qwen team, released in September 2024 as part of the Qwen2.5 series trained on 18 trillion tokens. The model is positioned as a high-capability option for developers with access to multi-GPU setups or high-VRAM hardware, offering strong performance on coding, structured reasoning, and multilingual tasks while remaining fully open under Apache 2.0. Its 128K context window and support for structured output generation made it a popular choice for document processing and agentic workflows in the open-source community.
3 months newer

Codestral 22B
Mistral AI
2024-05-29
Qwen2.5 32B Instruct
Alibaba / Qwen
2024-09-19
Average performance across 1 common benchmarks
Codestral 22B
Qwen2.5 32B Instruct
Performance comparison across key benchmark categories
Codestral 22B
Qwen2.5 32B Instruct
Available providers and their performance metrics
Codestral 22B
Qwen2.5 32B Instruct
Codestral 22B
Qwen2.5 32B Instruct