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GLM-4.5-Air vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
GLM-4.5-Air leads with 20.8% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Overall, GLM-4.5-Air is the stronger choice for coding tasks.
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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
Qwen2.5-VL 32B was developed as a mid-sized vision-language model, designed to balance multimodal capability with practical deployment considerations. Built with 32 billion parameters for vision and language integration, it serves applications requiring strong visual understanding without flagship-scale resources.
5 months newer
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
GLM-4.5-Air
Zhipu AI
2025-07-28
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Average performance across 2 common benchmarks
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GLM-4.5-Air
Average Score:78.2%(+20.8%)
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Qwen2.5 VL 32B Instruct
Average Score:57.4%
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.5-Air
0 providers
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Qwen2.5 VL 32B Instruct
0 providers
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GLM-4.5-Air
Avg Score:78.2%(+20.8%)
Providers:0
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Qwen2.5 VL 32B Instruct
Avg Score:57.4%
Providers:0