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 1.5 Pro
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 Google's latest advancement in AI technology.

Gemini 1.5 Pro
2024-05-01

DeepSeek VL2 Small
DeepSeek
2024-12-13
7 months newer
Performance Metrics
Context window and performance specifications

DeepSeek VL2 Small

Gemini 1.5 Pro
Average performance across 2 common benchmarks

DeepSeek VL2 Small

Gemini 1.5 Pro
Performance comparison across key benchmark categories

DeepSeek VL2 Small

Gemini 1.5 Pro
Gemini 1.5 Pro
2023-11-01
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek VL2 Small

Gemini 1.5 Pro

DeepSeek VL2 Small

Gemini 1.5 Pro