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OpenAI: GPT-5.4Reason Deeper. Act Smarter

Try OpenAI: GPT-5.4API Documentation

Unlock GPT-5.4 Power

1M Context

Process Massive Documents

Handle 1M token context window for codebases, reports, and long workflows in one request.

Computer Use

Control Desktops Directly

Issue mouse, keyboard commands from screenshots to automate tasks without external tools.

Tool Search

Find Tools Efficiently

Search large tool ecosystems with deferred loading for accurate selection and lower tokens.

Examples

See what OpenAI: GPT-5.4 can create

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

Code Analysis

“Analyze this 500k token Python codebase for bugs, suggest refactors, and generate unit tests. Use tool_search for linting tools and output a fix plan.”

Data Synthesis

“Synthesize insights from 200k tokens of financial spreadsheets and reports. Identify trends, forecast Q3 revenue, and verify with web search agents.”

Workflow Automation

“Navigate CRM dashboard via screenshots: log in, query customer data, update records, export CSV. Use computer use for clicks and typing.”

Research Plan

“Plan multi-step research on AI regulations: search sources, synthesize findings, present action plan for adjustments mid-response.”

For Developers

A few lines of code.
Agents. 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-5.4

Read the docs

OpenAI: GPT-5.4 API provides access to the model with 1M token context, tool search, and computer use. It powers agents for coding, analysis, and automation. Available via standard LLM endpoints.

It introduces tool_search for deferred loading in large ecosystems. This cuts tokens and boosts selection accuracy. Supports custom tools and verbosity controls.

Built-in capability to observe screenshots and issue mouse/keyboard commands. Automates desktop tasks like navigation and form filling. Achieves 75%+ success on benchmarks.

This OpenAI: GPT-5.4 LLM replicates core features via API. Use for similar 1M context and agent workflows. Matches improvements in coding and multimodal tasks.

Up to 1M input tokens with 128K output. Enables entire codebases or document sets in single calls. Includes native compaction for long trajectories.

Supports multi-step agents with better context maintenance and planning. Users adjust mid-response without restarts. Reduces hallucinations by 33% on claims.

Ready to create?

Start generating with OpenAI: GPT-5.4 on ModelsLab.

Try OpenAI: GPT-5.4API Documentation