Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 16.0% higher average benchmark score. Gemini 2.5 Pro Preview 06-05 offers 852.0K more tokens in context window than DeepSeek-V3. DeepSeek-V3 is $9.88 cheaper per million tokens. Gemini 2.5 Pro Preview 06-05 supports multimodal inputs. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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-V3
DeepSeek
2024-12-25
Gemini 2.5 Pro Preview 06-05
2025-06-05
Cost per million tokens (USD)
DeepSeek-V3
Gemini 2.5 Pro Preview 06-05
Context window and performance specifications
Average performance across 28 common benchmarks
DeepSeek-V3
Gemini 2.5 Pro Preview 06-05
Gemini 2.5 Pro Preview 06-05
2025-01-31
Available providers and their performance metrics
DeepSeek-V3
DeepSeek
Gemini 2.5 Pro Preview 06-05
DeepSeek-V3
Gemini 2.5 Pro Preview 06-05
DeepSeek-V3
Gemini 2.5 Pro Preview 06-05