Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash leads with 17.2% higher average benchmark score. Overall, Gemini 1.5 Flash is the stronger choice for coding tasks.
DeepSeek
DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). 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 is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.8% across 22 benchmarks. It excels particularly in XSTest (97.0%), HellaSwag (86.5%), GSM8k (86.2%). 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.
7 months newer
Gemini 1.5 Flash
2024-05-01
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Context window and performance specifications
Average performance across 34 common benchmarks
DeepSeek VL2 Tiny
Gemini 1.5 Flash
Gemini 1.5 Flash
2023-11-01
Available providers and their performance metrics
DeepSeek VL2 Tiny
Gemini 1.5 Flash
DeepSeek VL2 Tiny
Gemini 1.5 Flash
DeepSeek VL2 Tiny
Gemini 1.5 Flash