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OpenAI: GPT-5OpenAI GPT-5 Power

Try OpenAI: GPT-5API Documentation

Unlock GPT-5 Capabilities

Agentic Execution

Autonomous Tool Calling

Executes multi-step workflows with native function calls and web search.

Massive Context

400K Token Window

Handles long inputs with persistent memory across sessions.

Multimodal Native

Text Image Audio

Processes multiple modalities from unified training.

Examples

See what OpenAI: GPT-5 can create

Copy any prompt below and try it yourself in the playground.

Code Generator

“Write a Python script to analyze sales data from a CSV file, generate visualizations with matplotlib, and output a summary report with key insights.”

Math Solver

“Solve this AIME-level math problem step-by-step: Find the number of integer solutions to x^2 + y^2 + z^2 = 2025 where x, y, z are positive integers.”

Workflow Agent

“Plan a marketing campaign: research competitors, draft email copy, generate social media posts, and outline A/B test metrics.”

Technical Summary

“Summarize the key differences between transformer architectures in GPT-4 and GPT-5, focusing on context handling and agentic improvements.”

For Developers

A few lines of code.
GPT-5. One Call.

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

  • Serverless: scales to zero, scales to millions
  • Pay per token, no minimums
  • Python and JavaScript SDKs, plus REST API
API Documentation 
import requests


response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())

FAQ

Common questions about OpenAI: GPT-5

Read the docs

OpenAI: GPT-5 is a multimodal LLM with 400K token context, native agent tools, and persistent memory. It unifies fast and reasoning modes automatically.

GPT-5 adds autonomous execution, safe completions, and reduced hallucinations over GPT-4. Context expands to 400K tokens with better long-task handling.

Access OpenAI: GPT-5 API via ModelsLab endpoints. Matches official specs for coding, math, and agentic tasks.

Supports 400K tokens combining input and output. Excels at retrieving facts from large contexts without errors.

Native tool calling for functions, code execution, and web search. Chains dozens of calls in parallel or sequence.

Sets benchmarks in SWE-bench and Aider with 74.9% verified coding success. Generates UI and apps from minimal prompts.

Ready to create?

Start generating with OpenAI: GPT-5 on ModelsLab.

Try OpenAI: GPT-5API Documentation