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 5 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.
DeepSeek-V3.2-Exp
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.
DeepSeek-R1
DeepSeek
2025-01-20
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
8 months newer
Pricing Comparison
Cost per million tokens (USD)
DeepSeek-R1
DeepSeek-V3.2-Exp
Performance Metrics
Context window and performance specifications
DeepSeek-R1
DeepSeek-V3.2-Exp
Average performance across 27 common benchmarks
DeepSeek-R1
DeepSeek-V3.2-Exp
Performance comparison across key benchmark categories
DeepSeek-R1
DeepSeek-V3.2-Exp
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek
ZeroEval
DeepSeek-V3.2-Exp
Novita
ZeroEval
DeepSeek-R1
DeepSeek-V3.2-Exp