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GLM-4.5 vs Qwen2.5-Coder 32B Instruct
Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 37.8% higher average benchmark score. GLM-4.5 offers 6.1K more tokens in context window than Qwen2.5-Coder 32B Instruct. Qwen2.5-Coder 32B Instruct is $1.82 cheaper per million tokens. 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
Qwen 2.5 Coder 32B was developed as a specialized coding model, designed to excel at programming tasks with 32 billion parameters specifically optimized for code. Built to understand and generate code across multiple programming languages, it serves developers requiring advanced code completion, debugging, and explanation capabilities.
10 months newer
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
GLM-4.5
Zhipu AI
2025-07-28
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Pricing Comparison
Cost per million tokens (USD)
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GLM-4.5
Input:$0.40
Output:$1.60
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Qwen2.5-Coder 32B Instruct
Input:$0.09
Output:$0.09($1.82 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GLM-4.5
Average Score:78.8%(+37.8%)
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Qwen2.5-Coder 32B Instruct
Average Score:40.9%
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-Coder 32B Instruct
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GLM-4.5
Avg Score:78.8%(+37.8%)
Providers:3
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Qwen2.5-Coder 32B Instruct
Avg Score:40.9%
Providers:4