Comprehensive side-by-side LLM comparison
DeepSeek-V3 0324 leads with 11.3% higher average benchmark score. GPT-5 nano offers 200.3K more tokens in context window than DeepSeek-V3 0324. GPT-5 nano is $0.97 cheaper per million tokens. GPT-5 nano supports multimodal inputs. Overall, DeepSeek-V3 0324 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). It supports a 328K token context window for handling large documents. The model is available through 1 API provider. 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.
4 months newer
DeepSeek-V3 0324
DeepSeek
2025-03-25
GPT-5 nano
OpenAI
2025-08-07
Cost per million tokens (USD)
DeepSeek-V3 0324
GPT-5 nano
Context window and performance specifications
Average performance across 9 common benchmarks
DeepSeek-V3 0324
GPT-5 nano
GPT-5 nano
2024-05-30
Available providers and their performance metrics
DeepSeek-V3 0324
Novita
GPT-5 nano
DeepSeek-V3 0324
GPT-5 nano
DeepSeek-V3 0324
GPT-5 nano
OpenAI
ZeroEval