Comprehensive side-by-side LLM comparison
Qwen2.5-VL 32B Instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-V3.2-Exp (DeepSeek-V3.2 Thinking), released by DeepSeek in September 2025, is the experimental preview release of the DeepSeek-V3.2 model featuring 685 billion total parameters and integrated thinking capabilities. It introduced the architecture and training approaches that became the foundation of the final V3.2 release, including thinking in tool-use and hybrid reasoning modes.
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.
7 months newer
Qwen2.5-VL 32B Instruct
Alibaba / Qwen
2025-03-01

DeepSeek-V3.2 Thinking
DeepSeek
2025-09-29
Context window and performance specifications
Available providers and their performance metrics
DeepSeek-V3.2 Thinking
DeepSeek
Qwen2.5-VL 32B Instruct
DeepSeek-V3.2 Thinking
Qwen2.5-VL 32B Instruct
DeepSeek-V3.2 Thinking
Qwen2.5-VL 32B Instruct