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.
Gemma 2 27B
Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). The model shows particular specialization in reasoning tasks with an average performance of 82.5%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
Gemma 2 27B
2024-06-27
DeepSeek-R1
DeepSeek
2025-01-20
6 months newer
Performance Metrics
Context window and performance specifications
DeepSeek-R1
Gemma 2 27B
Average performance across 1 common benchmarks
DeepSeek-R1
Gemma 2 27B
Performance comparison across key benchmark categories
DeepSeek-R1
Gemma 2 27B
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek
Gemma 2 27B
DeepSeek-R1
Gemma 2 27B