Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 leads with 41.9% higher average benchmark score. GPT-5 nano offers 265.9K more tokens in context window than DeepSeek-R1-0528. GPT-5 nano is $2.20 cheaper per million tokens. GPT-5 nano supports multimodal inputs. 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.
OpenAI
GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). It supports a 528K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
2 months newer
DeepSeek-R1-0528
DeepSeek
2025-05-28
GPT-5 nano
OpenAI
2025-08-07
Cost per million tokens (USD)
DeepSeek-R1-0528
GPT-5 nano
Context window and performance specifications
Average performance across 17 common benchmarks
DeepSeek-R1-0528
GPT-5 nano
GPT-5 nano
2024-05-30
Available providers and their performance metrics
DeepSeek-R1-0528
DeepInfra
DeepSeek
Novita
DeepSeek-R1-0528
GPT-5 nano
DeepSeek-R1-0528
GPT-5 nano
GPT-5 nano
OpenAI
ZeroEval