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Models/GPT-4
OpenAIPaid API

GPT-4

Large Language Model โ€ข Released 2023-03-14 โ€ข Last Verified 2025-02-01

Try PlaygroundDocs

GPT-4 is a versatile open-weight language model developed by OpenAI. Built on modern Transformer architecture with Grouped-Query Attention (GQA) and Rotary Position Embeddings (RoPE), GPT-4 delivers strong performance in instruction following, multi-turn dialogue, creative synthesis, and structured JSON output generation.

Context Window8k
LicenseProprietary
Deployment
Cloud Only
API AvailableYes (REST/SDK)
๐Ÿ’ก

Plain English Summary (What is this model & who is it for?)

Think of GPT-4 as a versatile AI assistant for writing, research, and brainstorming. It helps you draft emails, write essays, summarize long articles, and generate creative ideas on any topic.

๐Ÿ’ก Real-World Use Cases & Practical Examples

โœ๏ธ Email & Article Drafting: Draft professional emails, blog posts, and press releases in seconds.
๐Ÿ“š Long Document Summarization: Condense 50-page PDF reports into actionable bullet points.
๐Ÿ’ก Brainstorming & Strategy: Generate marketing ideas, product names, and event outlines.
๐ŸŽ“ Learning Partner: Ask questions and get step-by-step explanations on any topic.

๐Ÿš€ How to Run & Use This Model (Step-by-Step Guide)

Simple setup instructions for everyday users and developers.

1

Sign Up & Get API Access

Create a account on OpenAI's official developer portal and obtain your API Key.

2

Try the Interactive Playground

Click the "Try Playground" button at the top of this page to test prompts instantly inside your web browser.

3

Send Your First Request

Use standard HTTP cURL requests or official Python/Node.js SDKs to send prompts to the endpoint.

4

Integrate Into Your App

Pass the model ID "gpt-4" into your code payload to power chatbots, workflows, and web applications.

Benchmark Performance

MMLU86.4

Strengths

  • โ€ขHigh accuracy
  • โ€ขFast inference

Limitations & Weaknesses

  • โ€ขClosed source API
Integration Code (text-chat)
import openai

client = openai.OpenAI()

response = client.chat.completions.create(
    model="gpt-4",
    messages=[
        {"role": "system", "content": "You are an expert AI assistant."},
        {"role": "user", "content": "Explain quantum computing in 2 sentences."}
    ]
)

print(response.choices[0].message.content)

Pricing Overview

$30.00 / 1M in

Prices subject to provider tiers and volume discounts. Check documentation for current token rates.

Model Tags

#gpt4#legacy

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