GPT-5.4

GPT-5.4 is an OpenAI reasoning model presented in the API & Codex Build Hour as a token-efficient coding and agent model with native computer-use capabilities.

Key facts

  • Type: Reasoning / coding / computer-use model
  • Maker: Openai
  • Codex role: Presented as a major Codex model release and one of the models behind the shift from pair programming to agent delegation [src-084].
  • Context length: OpenAI describes GPT-5.4 as supporting up to a million tokens of context [src-084].
  • Computer use: The session describes native computer-use-agent capabilities and a new API surface for managing browsers and computers [src-084].
  • Tool search: GPT-5.4 is paired with a tool search capability for progressively discovering tool namespaces instead of loading hundreds of tools into context at once [src-084].
  • Efficiency: OpenAI frames it as a token-efficient reasoning model, matching strong coding performance with lower token consumption and latency than earlier Codex models [src-084].

Related

Source references

  • [src-084] OpenAI Codex, Workspace Agents, Prompt Caching, and Superintelligence Policy cluster (2026-02-09 to 2026-05-08)

Robin Cartier perspective

This page is part of Robin Cartier's working AI knowledge graph: a practical research layer for production AI, recommendation systems, experimentation, GEO, and agentic web readiness.

The useful next step is to connect this concept back to applied product leadership and operating models.

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