Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 19.3% higher average benchmark score. Gemini 1.5 Pro offers 1.8M more tokens in context window than DeepSeek VL2. Gemini 1.5 Pro is $4797.00 cheaper per million tokens. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
DeepSeek
DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). It supports a 259K token context window for handling large documents. 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 DeepSeek's latest advancement in AI technology.
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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 Pro
2024-05-01
DeepSeek VL2
DeepSeek
2024-12-13
Cost per million tokens (USD)
DeepSeek VL2
Gemini 1.5 Pro
Context window and performance specifications
Average performance across 35 common benchmarks
DeepSeek VL2
Gemini 1.5 Pro
Gemini 1.5 Pro
2023-11-01
Available providers and their performance metrics
DeepSeek VL2
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Gemini 1.5 Pro
DeepSeek VL2
Gemini 1.5 Pro
DeepSeek VL2
Gemini 1.5 Pro