Comprehensive side-by-side LLM comparison
Qwen2.5 14B Instruct leads with 7.3% higher average benchmark score. Mistral Small 3.1 24B Instruct supports multimodal inputs. Overall, Qwen2.5 14B 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
Qwen2.5-14B-Instruct is a 14-billion-parameter language model from Alibaba released in September 2024 within the Qwen2.5 family, occupying the mid-tier of the series between efficiency-focused small models and the high-capability 72B flagship. Trained on 18 trillion tokens with emphasis on instruction alignment, code understanding, and multilingual reasoning, it offers a strong performance-to-compute ratio for developers who need more capability than 7B but cannot serve 32B or larger models. The model supports 128K context windows and structured output generation out of the box.
5 months newer
Qwen2.5 14B 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 14B Instruct
Performance comparison across key benchmark categories
Mistral Small 3.1 24B Instruct
Qwen2.5 14B Instruct
Available providers and their performance metrics
Mistral Small 3.1 24B Instruct
Qwen2.5 14B Instruct
Mistral Small 3.1 24B Instruct
Qwen2.5 14B Instruct