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
DeepSeek
DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). The model shows particular specialization in vision tasks with an average performance of 76.7%. It supports a 259K token context window for handling large documents. The model is available through 1 API provider. 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
DeepSeek
2024-12-13

DeepSeek R1 Zero
DeepSeek
2025-01-20
1 month newer
Performance Metrics
Context window and performance specifications

DeepSeek R1 Zero

DeepSeek VL2
Performance comparison across key benchmark categories

DeepSeek R1 Zero

DeepSeek VL2
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek R1 Zero

DeepSeek VL2
Replicate

DeepSeek R1 Zero

DeepSeek VL2