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

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-R1-0528
DeepSeek
DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 68.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), AIME 2024 (91.4%), AIME 2025 (87.5%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

DeepSeek VL2 Tiny
DeepSeek
2024-12-13

DeepSeek-R1-0528
DeepSeek
2025-05-28
5 months newer
Performance Metrics
Context window and performance specifications

DeepSeek VL2 Tiny

DeepSeek-R1-0528
Performance comparison across key benchmark categories

DeepSeek VL2 Tiny

DeepSeek-R1-0528
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek VL2 Tiny

DeepSeek-R1-0528
DeepInfra
Novita
DeepSeek

DeepSeek VL2 Tiny

DeepSeek-R1-0528