Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 14.9% higher average benchmark score. GPT-4.1 mini offers 1.0M more tokens in context window than Phi 4. Phi 4 is $1.79 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. Overall, GPT-4.1 mini is the stronger choice for coding tasks.
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.
Microsoft
Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
4 months newer
Phi 4
Microsoft
2024-12-12
GPT-4.1 mini
OpenAI
2025-04-14
Cost per million tokens (USD)
GPT-4.1 mini
Phi 4
Context window and performance specifications
Average performance across 39 common benchmarks
GPT-4.1 mini
Phi 4
GPT-4.1 mini
2024-05-31
Phi 4
2024-06-01
Available providers and their performance metrics
GPT-4.1 mini
OpenAI
ZeroEval
GPT-4.1 mini
Phi 4
GPT-4.1 mini
Phi 4
Phi 4
DeepInfra