Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek R1 Distill Llama 70B
DeepSeek
DeepSeek R1 Distill Llama 70B is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.0% across 4 benchmarks. It excels particularly in MATH-500 (94.5%), AIME 2024 (86.7%), GPQA (65.2%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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 Llama 70B
DeepSeek
2025-01-20
Gemma 3n E4B
2025-06-26
5 months newer
Performance Metrics
Context window and performance specifications
DeepSeek R1 Distill Llama 70B
Gemma 3n E4B
Performance comparison across key benchmark categories
DeepSeek R1 Distill Llama 70B
Gemma 3n E4B
Gemma 3n E4B
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek R1 Distill Llama 70B
DeepInfra
Gemma 3n E4B
DeepSeek R1 Distill Llama 70B
Gemma 3n E4B