Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-R1
DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). The model shows particular specialization in math tasks with an average performance of 88.1%. It supports a 262K token context window for handling large documents. The model is available through 4 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.
GLM-4.5
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 1 API provider. 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.
DeepSeek-R1
DeepSeek
2025-01-20
GLM-4.5
Zhipu AI
2025-07-28
6 months newer
Pricing Comparison
Cost per million tokens (USD)
DeepSeek-R1
GLM-4.5
Performance Metrics
Context window and performance specifications
DeepSeek-R1
GLM-4.5
Average performance across 6 common benchmarks
DeepSeek-R1
GLM-4.5
Performance comparison across key benchmark categories
DeepSeek-R1
GLM-4.5
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek
GLM-4.5
DeepInfra
DeepSeek-R1
GLM-4.5