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

GPT-5 nano
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.

Phi 4
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 shows particular specialization in math tasks with an average performance of 80.5%. 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.

Phi 4
Microsoft
2024-12-12

GPT-5 nano
OpenAI
2025-08-07
7 months newer
Pricing Comparison
Cost per million tokens (USD)

GPT-5 nano

Phi 4
Performance Metrics
Context window and performance specifications

GPT-5 nano

Phi 4
Average performance across 1 common benchmarks

GPT-5 nano

Phi 4
Performance comparison across key benchmark categories

GPT-5 nano

Phi 4
GPT-5 nano
2024-05-30
Phi 4
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

GPT-5 nano
ZeroEval
OpenAI

Phi 4
DeepInfra

GPT-5 nano

Phi 4