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 3n E2B Instructed
Gemma 3n E2B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
DeepSeek-R1
DeepSeek
2025-01-20
Gemma 3n E2B Instructed
2025-06-26
5 months newer
Performance Metrics
Context window and performance specifications
DeepSeek-R1
Gemma 3n E2B Instructed
Average performance across 4 common benchmarks
DeepSeek-R1
Gemma 3n E2B Instructed
Performance comparison across key benchmark categories
DeepSeek-R1
Gemma 3n E2B Instructed
Gemma 3n E2B Instructed
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek
Gemma 3n E2B Instructed
DeepSeek-R1
Gemma 3n E2B Instructed