Comprehensive side-by-side LLM comparison
Qwen2.5-VL 32B Instruct leads with 14.4% higher average benchmark score. Qwen2.5-VL 32B Instruct supports multimodal inputs. Overall, Qwen2.5-VL 32B Instruct is the stronger choice for coding tasks.
Mistral AI
Mistral Small 3 is a 24-billion-parameter open-weight language model from Mistral AI, released in January 2025 as an update to the Mistral Small line with targeted improvements to instruction-following, multilingual reasoning, and structured output quality. Released under Apache 2.0, it was designed for deployment on a single high-VRAM GPU, continuing Mistral's focus on practical efficiency over maximum scale. The model became a widely-used option for teams building internal tooling, customer-facing applications, and local inference pipelines that needed strong general capability without the operational overhead of larger models.
Alibaba / Qwen
Qwen2.5-VL-32B-Instruct is a 32-billion-parameter vision-language model from Alibaba, extending the Qwen2.5 architecture with multimodal capabilities for understanding images, documents, charts, and video frames alongside text. The model was designed for tasks requiring deep visual reasoning — such as document parsing, table extraction, and spatial understanding — with performance that made it a practical choice for document intelligence and visual data analysis workflows. As an open-weight model, it became a widely adopted foundation for fine-tuning domain-specific multimodal applications.
1 month newer

Mistral Small 3 24B
Mistral AI
2025-01-30
Qwen2.5-VL 32B Instruct
Alibaba / Qwen
2025-03-01
Average performance across 1 common benchmarks
Mistral Small 3 24B
Qwen2.5-VL 32B Instruct
Performance comparison across key benchmark categories
Mistral Small 3 24B
Qwen2.5-VL 32B Instruct
Available providers and their performance metrics
Mistral Small 3 24B
Qwen2.5-VL 32B Instruct
Mistral Small 3 24B
Qwen2.5-VL 32B Instruct