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

DeepSeek VL2 Small
DeepSeek
DeepSeek VL2 Small is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 69.6% across 14 benchmarks. It excels particularly in DocVQA (92.3%), ChartQA (84.5%), OCRBench (83.4%). 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.

Gemini 2.0 Flash Thinking
Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). 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 VL2 Small
DeepSeek
2024-12-13

Gemini 2.0 Flash Thinking
2025-01-21
1 month newer
Average performance across 1 common benchmarks

DeepSeek VL2 Small

Gemini 2.0 Flash Thinking
Performance comparison across key benchmark categories

DeepSeek VL2 Small

Gemini 2.0 Flash Thinking
Gemini 2.0 Flash Thinking
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek VL2 Small

Gemini 2.0 Flash Thinking

DeepSeek VL2 Small

Gemini 2.0 Flash Thinking