ShareAI
AI Prosumer
EN
Language
OpenAI

GPT-5.4

Get API key
openai/gpt-5.4

GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs, enabling high-context reasoning, coding, and multimodal analysis within the same workflow. The model delivers improved performance in coding, document understanding, tool use, and instruction following. It is designed as a strong default for both general-purpose tasks and software engineering, capable of generating production-quality code, synthesizing information across multiple sources, and executing complex multi-step workflows with fewer iterations and greater token efficiency.

Input → Output
Text, Image Text
Access
Token Exchange
Context window
1,050,000 tokens
Maximum output
128,000 tokens
License: proprietary

From model to application

Quick Start

API reference

  1. Get your API key

    Create a key in the ShareAI Console, then save it as an environment variable on your server.

    Create API key
    Environment variable
    export SHAREAI_API_KEY="your-api-key"

  2. Choose your endpoint

    Send a POST request with your API key in the Authorization header.

    POSThttps://api.shareai.now/api/v1/chat/completions

  3. Make your first request

    The request below uses your selected tag. Run it on your server to keep your API key private.

    cURL
    curl --request POST 'https://api.shareai.now/api/v1/chat/completions' \
  --header "Authorization: Bearer ${SHAREAI_API_KEY}" \
  --header 'Content-Type: application/json' \
  --data-raw '{
  "model": "openai/gpt-5.4",
  "messages": [
    {
      "role": "user",
      "content": "Hello!"
    }
  ],
  "stream": false
}'
    Python
    import json
import os
import urllib.request

payload = json.loads("{\n  \"model\": \"openai/gpt-5.4\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"Hello!\"\n    }\n  ],\n  \"stream\": false\n}")
request = urllib.request.Request("https://api.shareai.now/api/v1/chat/completions",
    data=json.dumps(payload).encode(),
    headers={
        "Authorization": f"Bearer {os.environ['SHAREAI_API_KEY']}",
        "Content-Type": "application/json",
    },
    method="POST",
)
with urllib.request.urlopen(request) as response:
    print(json.load(response))
    TypeScript
    const response = await fetch("https://api.shareai.now/api/v1/chat/completions", {
  method: 'POST',
  headers: {
    Authorization: `Bearer ${process.env.SHAREAI_API_KEY}`,
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    "model": "openai/gpt-5.4",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ],
    "stream": false
  }),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());

Token Exchange

Available through Token Exchange

Use the network with your token balance. Your account’s consumption settings determine how requests are billed.

A little more detail

Frequently asked questions

What is GPT-5.4?

GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs, enabling high-context reasoning, coding, and multimodal analysis within the same workflow. The model delivers improved performance in coding, document understanding, tool use, and instruction following. It is designed as a strong default for both general-purpose tasks and software engineering, capable of generating production-quality code, synthesizing information across multiple sources, and executing complex multi-step workflows with fewer iterations and greater token efficiency.

How much does GPT-5.4 cost?

This tag is available through Token Exchange. Your token balance and account consumption settings determine access and billing. Check your Console for your balance and eligibility.

What inputs and outputs does GPT-5.4 support?

Inputs: Text, Image. Outputs: Text. These capabilities apply to the selected model tag. Check the endpoint documentation for supported request formats.

What is the context length of GPT-5.4?

This tag has a context window of 1,050,000 tokens. Context size and pricing thresholds are separate. Request limits can be lower for a particular deployment. Maximum output: 128,000 tokens.

Does GPT-5.4 support tool calling and structured outputs?

Tool calling: Supported. Structured outputs: Supported.

How do I use GPT-5.4 with ShareAI?

Create an API key in the ShareAI Console, choose a model tag, and send an authenticated request to the endpoint in Quick Start. Your key must have access to the chosen model. Keep your key on your server.