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DeepSeek-V3.1 vs GLM-4.5
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. DeepSeek-V3.1 offers 65.5K more tokens in context window than GLM-4.5. DeepSeek-V3.1 is $0.73 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K 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.
6 months newer
DeepSeek-V3.1
DeepSeek
2025-01-10
GLM-4.5
Zhipu AI
2025-07-28
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.1
Input:$0.27
Output:$1.00($0.73 cheaper)
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GLM-4.5
Input:$0.40
Output:$1.60
Performance Metrics
Context window and performance specifications
Average performance across 22 common benchmarks
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DeepSeek-V3.1
Average Score:40.0%
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GLM-4.5
Average Score:40.7%(+0.7%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.1
2 providers
DeepInfra
Novita
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GLM-4.5
3 providers
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DeepSeek-V3.1
Avg Score:40.0%
Providers:2
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GLM-4.5
Avg Score:40.7%(+0.7%)
Providers:3