Comprehensive side-by-side LLM comparison
o3-mini leads with 42.4% higher average benchmark score. GPT-5 nano offers 228.0K more tokens in context window than o3-mini. GPT-5 nano is $5.05 cheaper per million tokens. GPT-5 nano supports multimodal inputs. Overall, o3-mini 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.
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.
6 months newer
o3-mini
OpenAI
2025-01-30
GPT-5 nano
OpenAI
2025-08-07
Cost per million tokens (USD)
GPT-5 nano
o3-mini
Context window and performance specifications
Average performance across 29 common benchmarks
GPT-5 nano
o3-mini
o3-mini
2023-09-30
GPT-5 nano
2024-05-30
Available providers and their performance metrics
GPT-5 nano
OpenAI
ZeroEval
GPT-5 nano
o3-mini
GPT-5 nano
o3-mini
o3-mini
Azure
OpenAI