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DeepSeek-V2.5 vs GLM-4.5
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 6.1% higher average benchmark score. GLM-4.5 offers 245.8K more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $1.58 cheaper per million tokens. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, 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.
1 year newer
DeepSeek-V2.5
DeepSeek
2024-05-08
GLM-4.5
Zhipu AI
2025-07-28
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28($1.58 cheaper)
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GLM-4.5
Input:$0.40
Output:$1.60
Performance Metrics
Context window and performance specifications
Average performance across 28 common benchmarks
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DeepSeek-V2.5
Average Score:38.1%(+6.1%)
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GLM-4.5
Average Score:32.0%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V2.5
3 providers
DeepInfra
Throughput: 63 tok/s
Latency: 0.5ms
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
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DeepSeek-V2.5
Avg Score:38.1%(+6.1%)
Providers:3
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GLM-4.5
Avg Score:32.0%
Providers:3