Comprehensive side-by-side LLM comparison
o4-mini leads with 42.5% higher average benchmark score. GPT-5 nano offers 228.0K more tokens in context window than o4-mini. GPT-5 nano is $5.05 cheaper per million tokens. Overall, o4-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
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). 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.
3 months newer
o4-mini
OpenAI
2025-04-16
GPT-5 nano
OpenAI
2025-08-07
Cost per million tokens (USD)
GPT-5 nano
o4-mini
Context window and performance specifications
Average performance across 16 common benchmarks
GPT-5 nano
o4-mini
GPT-5 nano
2024-05-30
o4-mini
2024-05-31
Available providers and their performance metrics
GPT-5 nano
OpenAI
ZeroEval
GPT-5 nano
o4-mini
GPT-5 nano
o4-mini
o4-mini
OpenAI