Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek R1 Distill Qwen 7B
DeepSeek
DeepSeek R1 Distill Qwen 7B is a language model developed by DeepSeek. It achieves strong performance with an average score of 65.7% across 4 benchmarks. It excels particularly in MATH-500 (92.8%), AIME 2024 (83.3%), GPQA (49.1%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
Gemma 3n E2B
Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). 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 Distill Qwen 7B
DeepSeek
2025-01-20
Gemma 3n E2B
2025-06-26
5 months newer
Performance comparison across key benchmark categories
DeepSeek R1 Distill Qwen 7B
Gemma 3n E2B
Gemma 3n E2B
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek R1 Distill Qwen 7B
Gemma 3n E2B
DeepSeek R1 Distill Qwen 7B
Gemma 3n E2B