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GLM-4.5 vs Qwen3 235B A22B
Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 13.9% higher average benchmark score. GLM-4.5 offers 6.1K more tokens in context window than Qwen3 235B A22B. Qwen3 235B A22B is $1.80 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
Qwen3 235B was developed as a large-scale model with 235 billion total parameters using a mixture-of-experts architecture activating 22 billion parameters. Built to provide frontier capabilities with computational efficiency through sparse activation, it represents Qwen's advancement into very large-scale model development.
3 months newer
Qwen3 235B A22B
Alibaba Cloud / Qwen Team
2025-04-29
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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Qwen3 235B A22B
Input:$0.10
Output:$0.10($1.80 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GLM-4.5
Average Score:81.9%(+13.9%)
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Qwen3 235B A22B
Average Score:68.0%
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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Qwen3 235B A22B
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GLM-4.5
Avg Score:81.9%(+13.9%)
Providers:3
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Qwen3 235B A22B
Avg Score:68.0%
Providers:4