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OpenAI ARTICLE ARTIKEL 5 February 2026 5 februari 2026

GPT-5.3-Codex System Card GPT-5.3-Codex systeemkaart

Title: GPT-5.3-Codex System Card Titel: GPT-5.3-Codex System Card

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AI maker AI-maker OpenAI Type Type Article Artikel Published Gepubliceerd 5 February 2026 5 februari 2026 Updates Updates Videos Video's View original article Bekijk origineel artikel
Why it matters Waarom dit telt

Quick editorial signal Snelle redactionele duiding

2 min
Impact Impact

Relevant if you build with AI tools, APIs, or coding agents. Relevant als je bouwt met AI-tools, API's of coding agents.

Audience Voor wie Developers Developers
Level Niveau Expert Expert
  • Track this as a OpenAI update, not just a standalone headline. Bekijk dit als OpenAI-update, niet alleen als losse headline.
  • Useful for builders who need to understand API, coding, or workflow changes. Nuttig voor bouwers die API-, code- of workflowwijzigingen willen begrijpen.
  • Likely worth revisiting after people have used the release in practice. Waarschijnlijk de moeite waard om opnieuw te bekijken zodra mensen het in praktijk gebruiken.
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GPT-5.3-Codex System Card | OpenAI

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February 5, 2026

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GPT‑5.3‑Codex System Card

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Introduction

GPT‑5.3‑Codex is the most capable agentic coding model to date, combining the frontier coding performance of GPT‑5.2‑Codex with the reasoning and professional knowledge capabilities of GPT‑5.2. This enables it to take on long-running tasks that involve research, tool use, and complex execution. Much like a colleague, you can steer and interact with GPT‑5.3‑Codex while it’s working, without losing context.

Like other recent models, it is being treated as High capability on biology, and is being deployed with the corresponding suite of safeguards we use for other models in the GPT‑5 family. It does not reach High capability on AI self-improvement.

This is the first launch we are treating as High capability in the Cybersecurity domain under our Preparedness Framework, activating the associated safeguards. We do not have definitive evidence that this model reaches our High threshold, but are taking a precautionary approach because we cannot rule out the possibility that it may be capable enough to reach the threshold. Our safeguards for high capability in cybersecurity rely on a layered safety stack designed to impede and disrupt threat actors, while we work to make these same capabilities as easily available as possible for cyber defenders.

GPT‑5.3‑Codex System Card

Read the System Card(opens in a new window)

Introduction

Author

Like other recent models, it is being treated as High capability on biology, and is being deployed with the corresponding suite of safeguards we use for other models in the GPT‑5 family. It does not reach High capability on AI self-improvement.

This is the first launch we are treating as High capability in the Cybersecurity domain under our Preparedness Framework, activating the associated safeguards. We do not have definitive evidence that this model reaches our High threshold, but are taking a precautionary approach because we cannot rule out the possibility that it may be capable enough to reach the threshold. Our safeguards for high capability in cybersecurity rely on a layered safety stack designed to impede and disrupt threat actors, while we work to make these same capabilities as easily available as possible for cyber defenders.

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