Comprehensive side-by-side LLM comparison
Phi 4 leads with 35.8% higher average benchmark score. GPT-5 nano offers 496.0K more tokens in context window than Phi 4. Both models have similar pricing. GPT-5 nano supports multimodal inputs. Overall, Phi 4 is the stronger choice for coding tasks.
OpenAI
GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). It supports a 528K token context window for handling large documents. 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.
7 months newer
Phi 4
Microsoft
2024-12-12
GPT-5 nano
OpenAI
2025-08-07
Cost per million tokens (USD)
GPT-5 nano
Phi 4
Context window and performance specifications
Average performance across 17 common benchmarks
GPT-5 nano
Phi 4
GPT-5 nano
2024-05-30
Phi 4
2024-06-01
Available providers and their performance metrics
GPT-5 nano
OpenAI
ZeroEval
GPT-5 nano
Phi 4
GPT-5 nano
Phi 4
Phi 4
DeepInfra