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GPT-3

Foundation modelGPTGPT-3

Generative Pre-trained Transformer 3

Release date: 2020-05-28Updated: 2023-08-16Views: 929
Live demoGitHubHugging FaceCompare
Parameters
175B
Context length
2K
Multilingual
Supported
Reasoning ability
No data

Generative Pre-trained Transformer 3 is an AI model published by OpenAI, released on 2020-05-28, for Foundation model, with 175B parameters, and 2K context length, with a 53.90 score on MMLU.

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

GPT-3

Model basics

Reasoning traces
No data
Thinking modes
Thinking modes not supported
Context length
2K tokens
Max output length
No data
Model type
Foundation model
Modality (in / out)
No data
Release date
2020-05-28
Model file size
No data
MoE architecture
No
Total params / Active params
175B / Not applicable
Knowledge cutoff
No data
GPT-3

Open source & experience

Code license
Proprietary
Weights license
Proprietary
GitHub repo
N/A
Hugging Face
N/A
Live demo
N/A
GPT-3

Official resources

Paper
DataLearnerAI blog
N/A
GPT-3

API details

API speed
No data
No public API pricing yet.
GPT-3

Benchmark Results

GPT-3 currently shows benchmark results led by MMLU (103 / 124, score 53.90). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.

Thinking

General Knowledge

1 evaluations
Benchmark / mode
Score
Rank/total
MMLU
Standard Mode
53.90
103 / 124
GPT-3

Publisher

Generative Pre-trained Transformer 3

Model Overview

Generative Pre-trained Transformer 3 is an AI model published by OpenAI, released on 2020-05-28, for Foundation model, with 175B parameters, and 2K context length, with a 53.90 score on MMLU.

Foundation model

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