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GLM-4.5-Air vs Qwen2-VL-72B-Instruct
Comprehensive side-by-side LLM comparison
Qwen2-VL-72B-Instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Zhipu AI
GLM-4.5 Air was created as a lightweight variant of GLM-4.5, designed to provide strong bilingual capabilities with improved efficiency. Built to serve applications requiring practical deployment with reduced resource requirements, it extends GLM-4.5's multilingual strengths to resource-conscious scenarios.
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Alibaba Cloud / Qwen Team
Qwen2-VL 72B was developed as a large vision-language model, designed to handle multimodal tasks combining visual and textual understanding. Built with 72 billion parameters for integrated vision and language processing, it enables applications requiring sophisticated analysis of images alongside text.
11 months newer
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29
GLM-4.5-Air
Zhipu AI
2025-07-28
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Knowledge Cutoff
Training data recency comparison
Qwen2-VL-72B-Instruct
2023-06-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.5-Air
0 providers
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Qwen2-VL-72B-Instruct
0 providers
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GLM-4.5-Air
Avg Score:0.0%
Providers:0
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Qwen2-VL-72B-Instruct
Avg Score:0.0%
Providers:0