Comprehensive side-by-side LLM comparison
Qwen2.5-VL 32B Instruct leads with 5.8% higher average benchmark score. Qwen2.5-VL 32B Instruct supports multimodal inputs. Overall, Qwen2.5-VL 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-VL-32B-Instruct is a 32-billion-parameter vision-language model from Alibaba, extending the Qwen2.5 architecture with multimodal capabilities for understanding images, documents, charts, and video frames alongside text. The model was designed for tasks requiring deep visual reasoning — such as document parsing, table extraction, and spatial understanding — with performance that made it a practical choice for document intelligence and visual data analysis workflows. As an open-weight model, it became a widely adopted foundation for fine-tuning domain-specific multimodal applications.
9 months newer

Codestral 22B
Mistral AI
2024-05-29
Qwen2.5-VL 32B Instruct
Alibaba / Qwen
2025-03-01
Average performance across 1 common benchmarks
Codestral 22B
Qwen2.5-VL 32B Instruct
Performance comparison across key benchmark categories
Codestral 22B
Qwen2.5-VL 32B Instruct
Available providers and their performance metrics
Codestral 22B
Qwen2.5-VL 32B Instruct
Codestral 22B
Qwen2.5-VL 32B Instruct