Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 leads with 43.5% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. 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 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). 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
Gemini 2.0 Flash Thinking
2025-01-21
DeepSeek-R1-0528
DeepSeek
2025-05-28
Context window and performance specifications
Average performance across 17 common benchmarks
DeepSeek-R1-0528
Gemini 2.0 Flash Thinking
Gemini 2.0 Flash Thinking
2024-08-01
Available providers and their performance metrics
DeepSeek-R1-0528
DeepInfra
DeepSeek
Novita
DeepSeek-R1-0528
Gemini 2.0 Flash Thinking
DeepSeek-R1-0528
Gemini 2.0 Flash Thinking
Gemini 2.0 Flash Thinking