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GLM-4.5 vs QwQ-32B-Preview
Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 21.3% higher average benchmark score. GLM-4.5 offers 196.6K more tokens in context window than QwQ-32B-Preview. QwQ-32B-Preview is $1.65 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
QwQ 32B Preview was introduced as an early access version of the QwQ reasoning model, designed to allow researchers and developers to experiment with advanced analytical capabilities. Built to gather feedback on reasoning-enhanced architecture, it represents an experimental step toward more thoughtful language models.
8 months newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
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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QwQ-32B-Preview
Input:$0.15
Output:$0.20($1.65 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GLM-4.5
Average Score:85.3%(+21.3%)
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QwQ-32B-Preview
Average Score:64.0%
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Knowledge Cutoff
Training data recency comparison
QwQ-32B-Preview
2024-11-28
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
3 providers
DeepInfra
Novita
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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QwQ-32B-Preview
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GLM-4.5
Avg Score:85.3%(+21.3%)
Providers:3
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QwQ-32B-Preview
Avg Score:64.0%
Providers:4