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-V2.5
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.
DeepSeek-V2.5
DeepSeek
2024-05-08
DeepSeek-R1
DeepSeek
2025-01-20
8 months newer
Pricing Comparison
Cost per million tokens (USD)
DeepSeek-R1
DeepSeek-V2.5
Performance Metrics
Context window and performance specifications
DeepSeek-R1
DeepSeek-V2.5
Average performance across 4 common benchmarks
DeepSeek-R1
DeepSeek-V2.5
Performance comparison across key benchmark categories
DeepSeek-R1
DeepSeek-V2.5
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek
DeepSeek-V2.5
Hyperbolic
DeepInfra
DeepSeek
DeepSeek-R1
DeepSeek-V2.5