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.
Zhipu AI
GLM-5 is a large language model from Zhipu AI with 745 billion total parameters and 44 billion active parameters per inference, designed for agentic intelligence, advanced reasoning, and frontier-level performance. It features a 200K token context window and targets complex multi-step tasks requiring sustained reasoning and tool use. GLM-5 is available via Zhipu AI's Z.ai platform under an MIT license.
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.
11 months newer
Qwen2.5-VL 32B Instruct
Alibaba / Qwen
2025-03-01
GLM 5
Zhipu AI
2026-02-11
Context window and performance specifications
Available providers and their performance metrics
GLM 5
Zhipu AI
Qwen2.5-VL 32B Instruct
GLM 5
Qwen2.5-VL 32B Instruct
GLM 5
Qwen2.5-VL 32B Instruct