Comprehensive side-by-side LLM comparison
Qwen2.5 7B Instruct leads with 4.5% higher average benchmark score. Mistral Small 3.1 24B Instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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
Qwen2.5-7B-Instruct is a 7-billion-parameter open-weight language model from Alibaba's Qwen team, released in September 2024 as part of the Qwen2.5 series trained on 18 trillion tokens with improved code, math, and multilingual coverage. The model delivers significantly stronger instruction-following, structured output generation, and long-context handling compared to its predecessor, supporting 128K context windows in a compact form factor. It became widely adopted as a foundation for fine-tuning, RAG pipelines, and on-device deployment due to its balance of capability and efficiency.
5 months newer
Qwen2.5 7B Instruct
Alibaba / Qwen
2024-09-19

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 7B Instruct
Performance comparison across key benchmark categories
Mistral Small 3.1 24B Instruct
Qwen2.5 7B Instruct
Available providers and their performance metrics
Mistral Small 3.1 24B Instruct
Qwen2.5 7B Instruct
Mistral Small 3.1 24B Instruct
Qwen2.5 7B Instruct