Comprehensive side-by-side LLM comparison
Qwen2 72B Instruct leads with 2.0% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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
Qwen2-72B-Instruct is a 72-billion-parameter language model released by Alibaba's Qwen team in June 2024, serving as the flagship of the Qwen2 generation and representing a major step in open-weight multilingual modeling. Trained on data spanning 30+ languages with strong coverage of code and structured reasoning, the model was among the first openly released 70B-class models to demonstrate competitive performance across diverse benchmarks. It established the foundation architecture and training methodology that the Qwen2.5 series would later extend.
9 days newer

Codestral 22B
Mistral AI
2024-05-29
Qwen2 72B Instruct
Alibaba / Qwen
2024-06-07
Average performance across 1 common benchmarks
Codestral 22B
Qwen2 72B Instruct
Performance comparison across key benchmark categories
Codestral 22B
Qwen2 72B Instruct
Available providers and their performance metrics
Codestral 22B
Qwen2 72B Instruct
Codestral 22B
Qwen2 72B Instruct