LLM Reference
OpenAI API

GPT-5.3-Codex-Spark on OpenAI API

GPT-5.4 · OpenAI

Serverless

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

Why use GPT-5.3-Codex-Spark on OpenAI API?

OpenAI API offers GPT-5.3-Codex-Spark with competitive pricing. OpenAI is a leading AI research and deployment company dedicated to developing safe and beneficial artificial general intelligence (AGI) for humanity.

Input / 1M
-
Output / 1M
-
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install openai
Auth
export OPENAI_API_KEY=...
Call
import os
from openai import OpenAI
client = OpenAI()  # reads OPENAI_API_KEY from env
response = client.chat.completions.create(
Model ID
gpt-5.3-codex-spark

Request example

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)

Gotchas

  • Use the model slug directly, e.g. "gpt-4o" or "gpt-4.1-mini".
  • The examples expect OPENAI_API_KEY; rename it only if your application config maps the new variable.

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.

Get Started

Model Specs

Released2026-02-12
Context131k
ArchitectureDecoder Only

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