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 2.5 Flash
Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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 2.5 Flash
2025-05-20
5 months newer
Performance Metrics
Context window and performance specifications

DeepSeek VL2 Small

Gemini 2.5 Flash
Average performance across 1 common benchmarks

DeepSeek VL2 Small

Gemini 2.5 Flash
Performance comparison across key benchmark categories

DeepSeek VL2 Small

Gemini 2.5 Flash
Gemini 2.5 Flash
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek VL2 Small

Gemini 2.5 Flash
ZeroEval

DeepSeek VL2 Small

Gemini 2.5 Flash