Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

GPT-4.1 nano
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.

Phi 4 Mini
Microsoft
Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

Phi 4 Mini
Microsoft
2025-02-01

GPT-4.1 nano
OpenAI
2025-04-14
2 months newer
Performance Metrics
Context window and performance specifications

GPT-4.1 nano

Phi 4 Mini
Average performance across 2 common benchmarks

GPT-4.1 nano

Phi 4 Mini
Performance comparison across key benchmark categories

GPT-4.1 nano

Phi 4 Mini
GPT-4.1 nano
2024-05-31
Phi 4 Mini
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

GPT-4.1 nano
OpenAI

Phi 4 Mini

GPT-4.1 nano

Phi 4 Mini