Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 15.9% higher average benchmark score. Gemini 2.0 Flash offers 794.6K more tokens in context window than DeepSeek-V3. Gemini 2.0 Flash is $0.87 cheaper per million tokens. Gemini 2.0 Flash 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 2.0 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.
24 days newer
Gemini 2.0 Flash
2024-12-01
DeepSeek-V3
DeepSeek
2024-12-25
Cost per million tokens (USD)
DeepSeek-V3
Gemini 2.0 Flash
Context window and performance specifications
Average performance across 30 common benchmarks
DeepSeek-V3
Gemini 2.0 Flash
Gemini 2.0 Flash
2024-08-01
Available providers and their performance metrics
DeepSeek-V3
DeepSeek
Gemini 2.0 Flash
DeepSeek-V3
Gemini 2.0 Flash
DeepSeek-V3
Gemini 2.0 Flash