Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 5.4% higher average benchmark score. GPT-4.1 nano offers 1.1M more tokens in context window than DeepSeek-V2.5. Both models have similar pricing. GPT-4.1 nano supports multimodal inputs. DeepSeek-V2.5 is available on 3 providers. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, 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.
11 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
GPT-4.1 nano
OpenAI
2025-04-14
Cost per million tokens (USD)
DeepSeek-V2.5
GPT-4.1 nano
Context window and performance specifications
Average performance across 39 common benchmarks
DeepSeek-V2.5
GPT-4.1 nano
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics
DeepSeek-V2.5
DeepInfra
DeepSeek
Hyperbolic
DeepSeek-V2.5
GPT-4.1 nano
DeepSeek-V2.5
GPT-4.1 nano
GPT-4.1 nano
OpenAI