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GPT-5-Nano
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
GPT-5-Nano currently shows benchmark results led by FrontierMath (26 / 55, score 8.30), FrontierMath - Tier 4 (20 / 34, score 2.10), LiveBench (45 / 51, score 59). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
GPT-5-Nano是GPT-5家族中最小尺寸的一个模型,适应于低时延场景。
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