Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 4.8% higher average benchmark score. Gemini 2.0 Flash offers 798.2K more tokens in context window than DeepSeek VL2. Gemini 2.0 Flash is $4809.00 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). 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.
12 days newer
Gemini 2.0 Flash
2024-12-01
DeepSeek VL2
DeepSeek
2024-12-13
Cost per million tokens (USD)
DeepSeek VL2
Gemini 2.0 Flash
Context window and performance specifications
Average performance across 26 common benchmarks
DeepSeek VL2
Gemini 2.0 Flash
Gemini 2.0 Flash
2024-08-01
Available providers and their performance metrics
DeepSeek VL2
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Gemini 2.0 Flash
DeepSeek VL2
Gemini 2.0 Flash
DeepSeek VL2
Gemini 2.0 Flash