Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 17.9% higher average benchmark score. GPT-4.1 nano offers 752.7K more tokens in context window than DeepSeek-V3 0324. GPT-4.1 nano is $0.92 cheaper per million tokens. GPT-4.1 nano supports multimodal inputs. Overall, GPT-4.1 nano 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-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). 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 OpenAI's latest advancement in AI technology.
20 days newer
DeepSeek-V3 0324
DeepSeek
2025-03-25
GPT-4.1 nano
OpenAI
2025-04-14
Cost per million tokens (USD)
DeepSeek-V3 0324
GPT-4.1 nano
Context window and performance specifications
Average performance across 28 common benchmarks
DeepSeek-V3 0324
GPT-4.1 nano
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics
DeepSeek-V3 0324
Novita
GPT-4.1 nano
DeepSeek-V3 0324
GPT-4.1 nano
DeepSeek-V3 0324
GPT-4.1 nano
OpenAI