LLM Reference
OpenAI API

Using GPT-5.3-Codex-Spark on OpenAI API

Implementation guide · GPT-5.4 · OpenAI

Serverless

OpenAI API exposes GPT-5.3-Codex-Spark through model ID gpt-5.3-codex-spark. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-06-04. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at OpenAI API and generate an API key.
  2. 2
    Use the OpenAI API SDK or REST API to call gpt-5.3-codex-spark — see the documentation for request format.

Code Examples

Install
pip install openai
API key
OPENAI_API_KEY
Model ID
gpt-5.3-codex-spark

Use the model slug directly, e.g. "gpt-4o" or "gpt-4.1-mini".

import os
from openai import OpenAI

client = OpenAI()  # reads OPENAI_API_KEY from env
response = client.chat.completions.create(
    model="gpt-5.3-codex-spark",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on OpenAI API

Capabilities

JSON / Tool useStructured OutputsCode Execution

About GPT-5.3-Codex-Spark

ChatGPT Pro research preview using Cerebras hardware for real-time coding at 1000+ tokens/second. Not available as a standard public OpenAI API model.

Model Specs

Released2026-02-12
Context131k
ArchitectureDecoder Only

Provider

OpenAI API
OpenAI API

OpenAI

San Francisco, California, United States