Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 19.1% higher average benchmark score. Gemini 1.5 Pro offers 1.8M more tokens in context window than DeepSeek-R1-0528. DeepSeek-R1-0528 is $9.85 cheaper per million tokens. Gemini 1.5 Pro supports multimodal inputs. DeepSeek-R1-0528 is available on 3 providers. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
DeepSeek
DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 60.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), SimpleQA (92.3%), AIME 2024 (91.4%). It supports a 262K token context window for handling large documents. The model is available through 3 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 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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 year newer
Gemini 1.5 Pro
2024-05-01
DeepSeek-R1-0528
DeepSeek
2025-05-28
Cost per million tokens (USD)
DeepSeek-R1-0528
Gemini 1.5 Pro
Context window and performance specifications
Average performance across 37 common benchmarks
DeepSeek-R1-0528
Gemini 1.5 Pro
Gemini 1.5 Pro
2023-11-01
Available providers and their performance metrics
DeepSeek-R1-0528
DeepInfra
DeepSeek
Novita
DeepSeek-R1-0528
Gemini 1.5 Pro
DeepSeek-R1-0528
Gemini 1.5 Pro
Gemini 1.5 Pro