Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 leads with 19.1% higher average benchmark score. Gemini 2.5 Flash-Lite offers 852.0K more tokens in context window than DeepSeek-R1-0528. Gemini 2.5 Flash-Lite is $2.15 cheaper per million tokens. Gemini 2.5 Flash-Lite 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 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). 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.
20 days newer
DeepSeek-R1-0528
DeepSeek
2025-05-28
Gemini 2.5 Flash-Lite
2025-06-17
Cost per million tokens (USD)
DeepSeek-R1-0528
Gemini 2.5 Flash-Lite
Context window and performance specifications
Average performance across 21 common benchmarks
DeepSeek-R1-0528
Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite
2025-01-01
Available providers and their performance metrics
DeepSeek-R1-0528
DeepInfra
DeepSeek
Novita
DeepSeek-R1-0528
Gemini 2.5 Flash-Lite
DeepSeek-R1-0528
Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite