Comprehensive side-by-side LLM comparison
DeepSeek VL2 Small leads with 7.5% 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 1.5 Flash 8B is a multimodal language model developed by Google. It achieves strong performance with an average score of 60.5% across 13 benchmarks. It excels particularly in XSTest (92.6%), FLEURS (86.4%), Natural2Code (75.5%). With a 1.1M 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.
9 months newer
Gemini 1.5 Flash 8B
2024-03-15
DeepSeek VL2 Small
DeepSeek
2024-12-13
Context window and performance specifications
Average performance across 25 common benchmarks
DeepSeek VL2 Small
Gemini 1.5 Flash 8B
Gemini 1.5 Flash 8B
2024-10-01
Available providers and their performance metrics
DeepSeek VL2 Small
Gemini 1.5 Flash 8B
DeepSeek VL2 Small
Gemini 1.5 Flash 8B
DeepSeek VL2 Small
Gemini 1.5 Flash 8B