Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash leads with 3.2% higher average benchmark score. Gemini 1.5 Flash offers 794.6K more tokens in context window than DeepSeek-V3. Gemini 1.5 Flash is $0.62 cheaper per million tokens. Gemini 1.5 Flash supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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 1.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.8% across 22 benchmarks. It excels particularly in XSTest (97.0%), HellaSwag (86.5%), GSM8k (86.2%). 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.
7 months newer
Gemini 1.5 Flash
2024-05-01
DeepSeek-V3
DeepSeek
2024-12-25
Cost per million tokens (USD)
DeepSeek-V3
Gemini 1.5 Flash
Context window and performance specifications
Average performance across 39 common benchmarks
DeepSeek-V3
Gemini 1.5 Flash
Gemini 1.5 Flash
2023-11-01
Available providers and their performance metrics
DeepSeek-V3
DeepSeek
Gemini 1.5 Flash
DeepSeek-V3
Gemini 1.5 Flash
DeepSeek-V3
Gemini 1.5 Flash