Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro Preview 06-05 offers 852.0K more tokens in context window than DeepSeek-R1. DeepSeek-R1 is $8.51 cheaper per million tokens. Gemini 2.5 Pro Preview 06-05 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 2.5 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.
4 months newer
DeepSeek-R1
DeepSeek
2025-01-20
Gemini 2.5 Pro Preview 06-05
2025-06-05
Cost per million tokens (USD)
DeepSeek-R1
Gemini 2.5 Pro Preview 06-05
Context window and performance specifications
Average performance across 13 common benchmarks
DeepSeek-R1
Gemini 2.5 Pro Preview 06-05
Gemini 2.5 Pro Preview 06-05
2025-01-31
Available providers and their performance metrics
DeepSeek-R1
DeepInfra
DeepSeek
Fireworks
Together
ZeroEval
DeepSeek-R1
Gemini 2.5 Pro Preview 06-05
DeepSeek-R1
Gemini 2.5 Pro Preview 06-05
Gemini 2.5 Pro Preview 06-05