Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

Model basics

Reasoning traces

Supported

Context length

256K tokens

Max output length

4096 tokens

Model type

推理大模型

Release date

2025-08-07

Model file size

No data

MoE architecture

Total params / Active params

0.0B / N/A

Knowledge cutoff

No data

Inference modes

常规模式（Non-Thinking Mode）思考模式（Thinking Mode）

Open source & experience

Code license

不开源

Weights license

不开源- 不开源

GitHub repo

GitHub link unavailable

Hugging Face

Hugging Face link unavailable

Live demo

No live demo

Official resources

Paper

No paper available

DataLearnerAI blog

No blog post yet

API details

API speed

No data

No public API pricing yet.

Benchmark Scores

多模态理解

2 evaluations

Benchmark / mode

Score

Rank/total

DocVQAnormal

78.30

5 / 5

MMMUnormal

57.60

17 / 17

数学推理

4 evaluations

Benchmark / mode

Score

Rank/total

FrontierMathhigh

8.30

23 / 52

FrontierMathmedium

7.20

25 / 52

FrontierMath - Tier 4medium

2.10

18 / 32

FrontierMath - Tier 4high

0.01

25 / 32

综合评估

1 evaluations

Benchmark / mode

Score

Rank/total

LiveBenchnormal

46 / 52

Publisher

OpenAI

View publisher details

Model Overview

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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