Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 7B Instruct leads with 8.8% higher average benchmark score. Mistral Small 3.1 24B Instruct supports multimodal inputs. Overall, Qwen2.5-Coder 7B 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-7B-Instruct is a 7-billion-parameter code-specialized model from Alibaba, released in November 2024 as part of the Qwen2.5-Coder family, trained on a curated corpus spanning 92 programming languages with emphasis on code generation, debugging, and fill-in-the-middle completion. Built on the Qwen2.5 architecture, it extends the base series' improvements in instruction-following and long-context handling to coding-specific tasks within a compact deployable footprint. It became popular for integration into IDE extensions, CI pipelines, and self-hosted code assistant tools.
4 months newer
Qwen2.5-Coder 7B 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 7B Instruct
Performance comparison across key benchmark categories
Mistral Small 3.1 24B Instruct
Qwen2.5-Coder 7B Instruct
Available providers and their performance metrics
Mistral Small 3.1 24B Instruct
Qwen2.5-Coder 7B Instruct
Mistral Small 3.1 24B Instruct
Qwen2.5-Coder 7B Instruct