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GLM-4.5 vs Qwen3-235B-A22B-Instruct-2507
Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 3.4% higher average benchmark score. GLM-4.5 offers 114.7K more tokens in context window than Qwen3-235B-A22B-Instruct-2507. Qwen3-235B-A22B-Instruct-2507 is $1.05 cheaper per million tokens. GLM-4.5 is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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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 Instruct was created as the instruction-tuned version of Qwen3 235B, designed to follow user instructions while leveraging the model's large-scale architecture. Built to provide advanced instruction-following with efficient mixture-of-experts design, it serves applications requiring both capability and practical deployment.
6 days newer
Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22
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-Instruct-2507
Input:$0.15
Output:$0.80($1.05 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GLM-4.5
Average Score:80.5%(+3.4%)
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Qwen3-235B-A22B-Instruct-2507
Average Score:77.1%
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-Instruct-2507
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GLM-4.5
Avg Score:80.5%(+3.4%)
Providers:3
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Qwen3-235B-A22B-Instruct-2507
Avg Score:77.1%
Providers:1