Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 3.8% higher average benchmark score. Gemini 2.5 Pro Preview 06-05 offers 855.6K more tokens in context window than DeepSeek VL2. Gemini 2.5 Pro Preview 06-05 is $4798.25 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 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). 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 2025, it represents Google's latest advancement in AI technology.
5 months newer
DeepSeek VL2
DeepSeek
2024-12-13
Gemini 2.5 Pro Preview 06-05
2025-06-05
Cost per million tokens (USD)
DeepSeek VL2
Gemini 2.5 Pro Preview 06-05
Context window and performance specifications
Average performance across 26 common benchmarks
DeepSeek VL2
Gemini 2.5 Pro Preview 06-05
Gemini 2.5 Pro Preview 06-05
2025-01-31
Available providers and their performance metrics
DeepSeek VL2
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Gemini 2.5 Pro Preview 06-05
DeepSeek VL2
Gemini 2.5 Pro Preview 06-05
DeepSeek VL2
Gemini 2.5 Pro Preview 06-05