Comprehensive side-by-side LLM comparison
Qwen2.5 72B Instruct leads with 13.5% higher average benchmark score. Mistral Small 3.1 24B Instruct supports multimodal inputs. Overall, Qwen2.5 72B 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
Qwen2.5-72B-Instruct is the flagship of Alibaba's Qwen2.5 series, a 72-billion-parameter open-weight model released in September 2024 after training on 18 trillion tokens spanning code, mathematics, and multilingual text. It offers strong generalist performance across coding, instruction-following, and structured reasoning while remaining fully open-weight under Apache 2.0 — a combination that made it a widely referenced model in open-source evaluations and community benchmarking. The 128K context window and built-in structured output support made it a common choice for document analysis and multi-step agentic pipeline development.
5 months newer
Qwen2.5 72B 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 72B Instruct
Performance comparison across key benchmark categories
Mistral Small 3.1 24B Instruct
Qwen2.5 72B Instruct
Available providers and their performance metrics
Mistral Small 3.1 24B Instruct
Qwen2.5 72B Instruct
Mistral Small 3.1 24B Instruct
Qwen2.5 72B Instruct