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GPT-5-Codex

OpenAI's GPT-5 variant tuned for autonomous coding agents — 7+ hour task horizons with adaptive reasoning.

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About

GPT-5-Codex (September 15, 2025) is a GPT-5 variant purpose-built for agentic software engineering, trained with reinforcement learning on real-world tasks: building projects from scratch, adding features and tests, debugging, and large-scale refactoring. Its signature behavior is adaptive reasoning — spending 93.7% fewer tokens than GPT-5 on the simplest 10% of requests and roughly twice the reasoning effort on the hardest 10%. OpenAI reported it working autonomously for over seven hours and refactoring a pull request across 232 files and 3,500 lines in the Gitea repo (provider-reported). Code review got dedicated attention: repo navigation, dependency analysis, and test runs, with incorrect review comments cut from 13.7% to 4.4% versus GPT-5 (provider-reported). It became the default across the Codex CLI, IDE extension, cloud service, and GitHub code review integration, plus the ChatGPT app for subscribers; API access was promised but not yet shipped at launch.

Specs

Context window

Not published

Pricing

Included with ChatGPT Plus, Pro, Business, Edu, and Enterprise plans (usage limits scale by plan); API pricing to be announced

Free quota

No free tier; bundled with paid ChatGPT plans

API access

Codex CLI, IDE extension, cloud service, GitHub code review, ChatGPT app; API access planned

Weights

Closed — API only

Released

September 15, 2025

Benchmarks

  • SWE-bench 74.5% — provider-reported via press
  • Refactoring accuracy 51.3% vs GPT-5 33.9% — provider-reported
  • Incorrect code-review comments 13.7% to 4.4% vs GPT-5 — provider-reported

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

codecode-reviewrefactoringdebugging

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Sep 15, 2025 launch date consistent across OneYearAgo, Blockchain.News, Implicator, CIOL; Adaptive reasoning figures (93.7% fewer tokens, 7+ hour autonomy, 232-file refactor) provider-reported via press — labeled as such; SWE-bench 74.5% via secondary press citing OpenAI — labeled provider-reported.

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