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GLM-4.5 vs Qwen3-235B-A22B-Thinking-2507
Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 6.1% higher average benchmark score. Qwen3-235B-A22B-Thinking-2507 offers 124.9K more tokens in context window than GLM-4.5. GLM-4.5 is $1.30 cheaper per million tokens. 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
Qwen3 235B Thinking was developed as a reasoning-enhanced variant, designed to incorporate extended thinking capabilities into the large-scale Qwen3 architecture. Built to combine deliberate analytical processing with mixture-of-experts efficiency, it serves tasks requiring both deep reasoning and computational practicality.
3 days newer
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
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($1.30 cheaper)
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Qwen3-235B-A22B-Thinking-2507
Input:$0.30
Output:$3.00
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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GLM-4.5
Average Score:76.3%(+6.1%)
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Qwen3-235B-A22B-Thinking-2507
Average Score:70.2%
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-Thinking-2507
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GLM-4.5
Avg Score:76.3%(+6.1%)
Providers:3
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Qwen3-235B-A22B-Thinking-2507
Avg Score:70.2%
Providers:1