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GLM-4.5V vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
GLM-4.5V is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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Zhipu AI
GLM-4.5V is a multimodal language model developed by Zhipu AI. It supports a 197K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu AI's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 63.6% across 28 benchmarks. It excels particularly in DocVQA (94.8%), Android Control Low_EM (93.3%), HumanEval (91.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
5 months newer
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
GLM-4.5V
Zhipu AI
2025-08-11
Performance Metrics
Context window and performance specifications
Average performance across 28 common benchmarks
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GLM-4.5V
Average Score:0.0%
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Qwen2.5 VL 32B Instruct
Average Score:63.6%(+63.6%)
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.5V
2 providers
Novita
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Qwen2.5 VL 32B Instruct
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GLM-4.5V
Avg Score:0.0%
Providers:2
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Qwen2.5 VL 32B Instruct
Avg Score:63.6%(+63.6%)
Providers:0