Model
codex
Codex is a name OpenAI has used twice. The first, published in 2021, was a version of GPT-3 fine-tuned on public GitHub code that could turn a plain-English description into working code; it powered GitHub Copilot and introduced the HumanEval benchmark that later code models were measured against. In May 2025 OpenAI reused the name for a different tool — a cloud-based coding agent built on a fine-tuned o3 that works largely unsupervised inside a sandboxed copy of a repository and proposes finished changes as pull requests for review.
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Featured in threads
Tracks
- Models & capabilities 5
- Money & business 2
- Security & misuse 1
- Benchmarks & progress 1
- Culture & impact 1
Open-source gateway cuts attacks from malicious AI agent skills
Tested against Codex, Claude Code, Kimi CLI and Gemini CLI, the tool cut one benchmark's attack success rate from 39.55% to 2.61% while preserving normal task performance.
Security & misuse
OpenAI to acquire Ona
Ona, formerly Gitpod, gives Codex persistent cloud sandboxes so agents can keep working for hours or days after a developer closes their laptop; terms were undisclosed.
Money & business · Models & capabilities
OpenAI launches Codex, a cloud-based coding agent
Built on a fine-tuned o3, each task runs in its own preloaded cloud sandbox and proposes a pull request, letting several jobs run at once without a developer at the keyboard.
Models & capabilities
GitHub Copilot goes on sale
Priced at $10 a month or $100 a year, it moved from a year-long technical preview used by over 1.2 million developers to a paid product free for students and open-source maintainers.
Money & business · Models & capabilities
OpenAI publishes Codex and the HumanEval benchmark
Codex solved 28.8% of HumanEval's Python problems on a single attempt and 70.2% when allowed 100 samples per problem, against 0% for base GPT-3.
Models & capabilities · Benchmarks & progress
GitHub launches Copilot in technical preview
An OpenAI model trained on public code began suggesting whole functions inside the editor — the first mass-market use of a large language model.
Models & capabilities · Culture & impact
In the commentary
Pieces from around the web that discuss codex. External links.
- 29 May 2026 · James Lucassen, Adam Kaufman · Redwood ResearchRetrying vs Resampling in AI Control
- 8 May 2026 · Zvi Mowshowitz · Don't Worry About the VaseClaude Code, Codex and Agentic Coding #8
- 15 April 2026 · Zvi Mowshowitz · Don't Worry About the VaseClaude Code, Codex and Agentic Coding #7: Auto Mode
- 25 March 2026 · Zvi Mowshowitz · Don't Worry About the VaseClaude Code, Cowork and Codex #6: Claude Code Auto Mode and Full Cowork Computer Use
- 18 March 2026 · Nathan Lambert · InterconnectsGPT 5.4 is a big step for Codex
- 9 March 2026 · Zvi Mowshowitz · Don't Worry About the VaseClaude Code, Claude Cowork and Codex #5
- 13 February 2026 · Zvi Mowshowitz · Don't Worry About the VaseChatGPT-5.3-Codex Is Also Good At Coding
- 9 February 2026 · Nathan Lambert · InterconnectsOpus 4.6, Codex 5.3, and the post-benchmark era