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DeepSeek-V3.2-Exp vs GLM-4.5
Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 1.3% higher average benchmark score. GLM-4.5 offers 32.8K more tokens in context window than DeepSeek-V3.2-Exp. DeepSeek-V3.2-Exp is $1.32 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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Zhipu AI
GLM-4.5 is a language model developed by Zhipu AI. It achieves strong performance with an average score of 64.0% across 14 benchmarks. It excels particularly in MATH-500 (98.2%), AIME 2024 (91.0%), MMLU-Pro (84.6%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu AI's latest advancement in AI technology.
2 months newer
GLM-4.5
Zhipu AI
2025-07-28
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2-Exp
Input:$0.27
Output:$0.41($1.32 cheaper)
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GLM-4.5
Input:$0.40
Output:$1.60
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:41.3%
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GLM-4.5
Average Score:42.6%(+1.3%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2-Exp
2 providers
Novita
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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GLM-4.5
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DeepSeek-V3.2-Exp
Avg Score:41.3%
Providers:2
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GLM-4.5
Avg Score:42.6%(+1.3%)
Providers:3