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.

o3-mini
OpenAI
o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI's latest advancement in AI technology.

o3-mini
OpenAI
2025-01-30

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

GPT-5 nano

o3-mini
Performance Metrics
Context window and performance specifications

GPT-5 nano

o3-mini
Average performance across 2 common benchmarks

GPT-5 nano

o3-mini
Performance comparison across key benchmark categories

GPT-5 nano

o3-mini
o3-mini
2023-09-30
GPT-5 nano
2024-05-30
Provider Availability & Performance
Available providers and their performance metrics

GPT-5 nano
ZeroEval
OpenAI

o3-mini
Azure
OpenAI

GPT-5 nano

o3-mini