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
OpenAI
o3 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 65.3% across 19 benchmarks. It excels particularly in AIME 2024 (91.6%), ARC-AGI (88.0%), MathVista (86.8%). The model shows particular specialization in vision tasks with an average performance of 76.7%. It supports a 300K token context window for handling large documents. 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.

o3
OpenAI
2025-04-16

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

GPT-5 nano

o3
Performance Metrics
Context window and performance specifications

GPT-5 nano

o3
Average performance across 4 common benchmarks

GPT-5 nano

o3
Performance comparison across key benchmark categories

GPT-5 nano

o3
GPT-5 nano
2024-05-30
o3
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics

GPT-5 nano
ZeroEval
OpenAI

o3
OpenAI

GPT-5 nano

o3