Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 leads with 21.9% higher average benchmark score. DeepSeek-R1-0528 offers 221.2K more tokens in context window than Gemini 1.0 Pro. Gemini 1.0 Pro is $0.65 cheaper per million tokens. DeepSeek-R1-0528 is available on 3 providers. Overall, DeepSeek-R1-0528 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 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.
1 year newer
Gemini 1.0 Pro
2024-02-15
DeepSeek-R1-0528
DeepSeek
2025-05-28
Cost per million tokens (USD)
DeepSeek-R1-0528
Gemini 1.0 Pro
Context window and performance specifications
Average performance across 24 common benchmarks
DeepSeek-R1-0528
Gemini 1.0 Pro
Gemini 1.0 Pro
2024-02-01
Available providers and their performance metrics
DeepSeek-R1-0528
DeepInfra
DeepSeek
Novita
DeepSeek-R1-0528
Gemini 1.0 Pro
DeepSeek-R1-0528
Gemini 1.0 Pro
Gemini 1.0 Pro