Comprehensive side-by-side LLM comparison
Qwen2 72B Instruct leads with 5.5% higher average benchmark score. Mistral Small 3.1 24B Instruct supports multimodal inputs. Overall, Qwen2 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
Qwen2-72B-Instruct is a 72-billion-parameter language model released by Alibaba's Qwen team in June 2024, serving as the flagship of the Qwen2 generation and representing a major step in open-weight multilingual modeling. Trained on data spanning 30+ languages with strong coverage of code and structured reasoning, the model was among the first openly released 70B-class models to demonstrate competitive performance across diverse benchmarks. It established the foundation architecture and training methodology that the Qwen2.5 series would later extend.
9 months newer
Qwen2 72B Instruct
Alibaba / Qwen
2024-06-07

Mistral Small 3.1 24B Instruct
Mistral AI
2025-03-17
Average performance across 1 common benchmarks
Mistral Small 3.1 24B Instruct
Qwen2 72B Instruct
Performance comparison across key benchmark categories
Mistral Small 3.1 24B Instruct
Qwen2 72B Instruct
Available providers and their performance metrics
Mistral Small 3.1 24B Instruct
Qwen2 72B Instruct
Mistral Small 3.1 24B Instruct
Qwen2 72B Instruct