+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek VL2 Small vs Gemini 2.0 Flash Thinking
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Small leads with 47.0% higher average benchmark score. Overall, DeepSeek VL2 Small is the stronger choice for coding tasks.
+
+
+
+
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 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.
1 month newer
DeepSeek VL2 Small
DeepSeek
2024-12-13
Gemini 2.0 Flash Thinking
2025-01-21
Average performance across 16 common benchmarks
+
+
+
+
DeepSeek VL2 Small
Average Score:60.9%(+47.0%)
+
+
+
+
Gemini 2.0 Flash Thinking
Average Score:13.9%
+
+
+
+
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 VL2 Small
0 providers
+
+
+
+
Gemini 2.0 Flash Thinking
0 providers
+
+
+
+
DeepSeek VL2 Small
Avg Score:60.9%(+47.0%)
Providers:0
+
+
+
+
Gemini 2.0 Flash Thinking
Avg Score:13.9%
Providers:0