Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 8.9% higher average benchmark score. GPT-4.1 mini offers 1.1M more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $1.58 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. Overall, GPT-4.1 mini 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 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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.
11 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
GPT-4.1 mini
OpenAI
2025-04-14
Cost per million tokens (USD)
DeepSeek-V2.5
GPT-4.1 mini
Context window and performance specifications
Average performance across 42 common benchmarks
DeepSeek-V2.5
GPT-4.1 mini
GPT-4.1 mini
2024-05-31
Available providers and their performance metrics
DeepSeek-V2.5
DeepInfra
DeepSeek
Hyperbolic
DeepSeek-V2.5
GPT-4.1 mini
DeepSeek-V2.5
GPT-4.1 mini
GPT-4.1 mini
OpenAI
ZeroEval