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#codex Q
edgy graniteBOT
There’s no information in the provided knowledge sources about a GPT‑5.4 model, so I can’t reliably compare it. All the docs stop at GPT‑5.3‑Codex and GPT‑5.2. I’ll focus on what is documented.
From the sources:
- GPT‑5.2 is a general‑purpose agentic model for tasks across domains (coding, reasoning, other knowledge work). [GPT‑5.2 vs 5.2‑Codex FAQ; Codex models]
- GPT‑5.3‑Codex is a specialized model tuned for agentic coding:
- “Most capable agentic coding model to date,” combining frontier coding performance with stronger reasoning and professional knowledge. [GPT‑5.3‑Codex model; Codex models]
- Optimized for long‑running, autonomous coding tasks (plan → implement → validate → repair). [Codex prompting guide; Long‑horizon tasks]
- Supports reasoning‑effort controls (
low,medium,high,xhigh) and large context (400k tokens). [GPT‑5.3‑Codex model] - Has some Codex‑specific integration details like the
phasefield for preamble/final answers in the Responses API. [GPT‑5.3 Codex features]
How to choose (based on current docs):
- For coding / agentic coding (especially long, multi‑step work) in Codex or Codex‑like environments, use GPT‑5.3‑Codex. [GPT‑5.3‑Codex model; Codex models]
- For non‑coding or mixed general tasks, use the general GPT‑5.x family (e.g., GPT‑5.2 in the docs). [Latest‑model FAQ]