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%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
DeepSeek-V3 0324
DeepSeek
DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). Released in 2025, it represents DeepSeek's latest advancement in AI technology.
DeepSeek-R1
DeepSeek
2025-01-20
DeepSeek-V3 0324
DeepSeek
2025-03-25
2 months newer
Performance Metrics
Context window and performance specifications
DeepSeek-R1
DeepSeek-V3 0324
Average performance across 5 common benchmarks
DeepSeek-R1
DeepSeek-V3 0324
Performance comparison across key benchmark categories
DeepSeek-R1
DeepSeek-V3 0324
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek
DeepSeek-V3 0324
DeepSeek-R1
DeepSeek-V3 0324