Audience

Software developers, engineering teams, and AI-powered coding tool builders seeking ultra-low-latency, real-time code generation and iterative collaboration within the Codex ecosystem

About GPT‑5.3‑Codex‑Spark

GPT-5.3-Codex-Spark is an ultra-fast coding model designed for real-time collaboration inside Codex. Built as a smaller version of GPT-5.3-Codex, it delivers over 1000 tokens per second when served on low-latency Cerebras hardware. The model is optimized for interactive coding tasks, enabling developers to make targeted edits and see results almost instantly. With a 128k context window, Codex-Spark supports substantial project context while maintaining speed. It focuses on lightweight, precise edits and does not automatically run tests unless prompted. Infrastructure upgrades such as persistent WebSocket connections significantly reduce latency across the full request-response pipeline. Released as a research preview for ChatGPT Pro users, Codex-Spark marks the first milestone in OpenAI’s partnership with Cerebras.

Integrations

API:
Yes, GPT‑5.3‑Codex‑Spark offers API access

Ratings/Reviews

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
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Company Information

OpenAI
Founded: 2015
United States
openai.com

Videos and Screen Captures

GPT‑5.3‑Codex‑Spark Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

GPT‑5.3‑Codex‑Spark Frequently Asked Questions

Q: What kinds of users and organization types does GPT‑5.3‑Codex‑Spark work with?
Q: What languages does GPT‑5.3‑Codex‑Spark support in their product?
Q: What kind of support options does GPT‑5.3‑Codex‑Spark offer?
Q: What other applications or services does GPT‑5.3‑Codex‑Spark integrate with?
Q: Does GPT‑5.3‑Codex‑Spark have an API?
Q: What type of training does GPT‑5.3‑Codex‑Spark provide?

GPT‑5.3‑Codex‑Spark Product Features