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GLM-4.5 vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 24.4% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. GLM-4.5 is available on 3 providers. Overall, GLM-4.5 is the stronger choice for coding tasks.
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Zhipu AI
GLM-4.5 was developed by Zhipu AI as an advanced bilingual language model, designed to excel at both Chinese and English language tasks. Built to serve diverse applications across multiple languages, it represents Zhipu AI's commitment to multilingual AI capabilities.
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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
Zhipu AI
2025-07-28
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GLM-4.5
Average Score:81.8%(+24.4%)
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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
3 providers
DeepInfra
Novita
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Qwen2.5 VL 32B Instruct
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GLM-4.5
Avg Score:81.8%(+24.4%)
Providers:3
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Qwen2.5 VL 32B Instruct
Avg Score:57.4%
Providers:0