Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 32B Instruct leads with 15.5% higher average benchmark score. Mistral Small 3.1 24B Instruct supports multimodal inputs. Overall, Qwen2.5-Coder 32B Instruct is the stronger choice for coding tasks.
Mistral AI
Mistral Small 3.1 is a 24-billion-parameter multimodal model from Mistral AI, released in March 2025 as an update to Mistral Small 3 that added vision understanding and expanded the context window from 32K to 128K tokens. The model accepts both text and image inputs, broadening its applicability to document analysis, image-grounded reasoning, and mixed-media workflows without requiring an increase in parameter count. Released under Apache 2.0, it continued Mistral's pattern of incremental capability gains delivered in compact, practically deployable open-weight packages.
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.
4 months newer
Qwen2.5-Coder 32B Instruct
Alibaba / Qwen
2024-11-12

Mistral Small 3.1 24B Instruct
Mistral AI
2025-03-17
Average performance across 1 common benchmarks
Mistral Small 3.1 24B Instruct
Qwen2.5-Coder 32B Instruct
Performance comparison across key benchmark categories
Mistral Small 3.1 24B Instruct
Qwen2.5-Coder 32B Instruct
Available providers and their performance metrics
Mistral Small 3.1 24B Instruct
Qwen2.5-Coder 32B Instruct
Mistral Small 3.1 24B Instruct
Qwen2.5-Coder 32B Instruct