Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek R1 Distill Qwen 1.5B
DeepSeek
DeepSeek R1 Distill Qwen 1.5B is a language model developed by DeepSeek. The model shows competitive results across 4 benchmarks. It excels particularly in MATH-500 (83.9%), AIME 2024 (52.7%), GPQA (33.8%). 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 E4B
Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). 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 Distill Qwen 1.5B
DeepSeek
2025-01-20

Gemma 3n E4B
2025-06-26
5 months newer
Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 1.5B

Gemma 3n E4B
Gemma 3n E4B
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek R1 Distill Qwen 1.5B

Gemma 3n E4B

DeepSeek R1 Distill Qwen 1.5B

Gemma 3n E4B