Comprehensive side-by-side LLM comparison
Qwen2.5 72B Instruct leads with 10.0% higher average benchmark score. Overall, Qwen2.5 72B 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
Qwen2.5-72B-Instruct is the flagship of Alibaba's Qwen2.5 series, a 72-billion-parameter open-weight model released in September 2024 after training on 18 trillion tokens spanning code, mathematics, and multilingual text. It offers strong generalist performance across coding, instruction-following, and structured reasoning while remaining fully open-weight under Apache 2.0 — a combination that made it a widely referenced model in open-source evaluations and community benchmarking. The 128K context window and built-in structured output support made it a common choice for document analysis and multi-step agentic pipeline development.
3 months newer

Codestral 22B
Mistral AI
2024-05-29
Qwen2.5 72B Instruct
Alibaba / Qwen
2024-09-19
Average performance across 1 common benchmarks
Codestral 22B
Qwen2.5 72B Instruct
Performance comparison across key benchmark categories
Codestral 22B
Qwen2.5 72B Instruct
Available providers and their performance metrics
Codestral 22B
Qwen2.5 72B Instruct
Codestral 22B
Qwen2.5 72B Instruct