Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash offers 794.6K more tokens in context window than DeepSeek-R1. Gemini 2.0 Flash is $2.24 cheaper per million tokens. Gemini 2.0 Flash supports multimodal inputs. DeepSeek-R1 is available on 5 providers. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It supports a 262K token context window for handling large documents. The model is available through 5 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, 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.
1 month newer
Gemini 2.0 Flash
2024-12-01
DeepSeek-R1
DeepSeek
2025-01-20
Cost per million tokens (USD)
DeepSeek-R1
Gemini 2.0 Flash
Context window and performance specifications
Average performance across 13 common benchmarks
DeepSeek-R1
Gemini 2.0 Flash
Gemini 2.0 Flash
2024-08-01
Available providers and their performance metrics
DeepSeek-R1
DeepInfra
DeepSeek
Fireworks
Together
ZeroEval
DeepSeek-R1
Gemini 2.0 Flash
DeepSeek-R1
Gemini 2.0 Flash
Gemini 2.0 Flash