AI & Agent Evaluation
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Introducing GPT-5.3-Codex

model release · source date 2026-02-05 · added 2026-08-07 15:52:43 · updated 2026-08-07 15:52:43 · Open original blog

Problems / challenges / motivations

  • Long-horizon agent work needs both strong coding and strong reasoning, which had been split across separate models.
  • Fire-and-forget agent runs waste time when the user can see it going wrong but cannot intervene.
  • Prompting guidance for agent models is under-specified relative to how much it changes behavior.

Key ideas

  • Combines GPT-5.2-Codex coding with GPT-5.2 reasoning, roughly 25% faster, aimed at long-horizon multi-step work.
  • Adds real-time interactive steering so a run can be corrected mid-flight rather than restarted.
  • Positioned beyond code, toward "nearly anything developers and professionals do on a computer."
  • Paired with an updated prompting guide introducing a required `phase` parameter, and the Codex App Server architecture.

Why it matters for AI engineering

  • This is the model layer that the harness-engineering, self-improving-tax-agent, and Codex customization work in this scan is built around.
  • The `phase` parameter is the notable detail: a single prompting knob reported to cause major degradation when omitted, which is a reminder that model-specific harness contracts are real and undocumented ones are a liability.
  • Reportedly the first model "instrumental in creating itself," used to debug its own training and deployment.
  • Caveat: a vendor launch. Capability and speed claims, and the self-creation framing, are OpenAI-reported and not independently benchmarked; the `phase` guidance is also first-party.

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