Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek R1 Zero
DeepSeek
DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
DeepSeek VL2 Tiny
DeepSeek
DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
DeepSeek R1 Zero
DeepSeek
2025-01-20
1 month newer
Performance comparison across key benchmark categories
DeepSeek R1 Zero
DeepSeek VL2 Tiny
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek R1 Zero
DeepSeek VL2 Tiny
DeepSeek R1 Zero
DeepSeek VL2 Tiny