Model Comparison

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

DeepSeek

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.

Google

Gemini 2.0 Flash Thinking

Google

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

DeepSeek VL2 Small

DeepSeek

2024-12-13

Google

Gemini 2.0 Flash Thinking

Google

2025-01-21

1 month newer

Average performance across 1 common benchmarks

DeepSeek

DeepSeek VL2 Small

Average Score:48.0%
Google

Gemini 2.0 Flash Thinking

+27.4%
Average Score:75.4%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek VL2 Small

vision
74.9%
general
68.9%
Google

Gemini 2.0 Flash Thinking

vision
+0.5%
75.4%
general
+4.9%
73.8%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 2.0 Flash Thinking

2024-08-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek VL2 Small

0 providers
Google

Gemini 2.0 Flash Thinking

0 providers
DeepSeek

DeepSeek VL2 Small

Avg Score:48.0%
Providers:0
Google

Gemini 2.0 Flash Thinking

+27.4%
Avg Score:75.4%
Providers:0