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Sam Altman stated that "Codex has changed OpenAI's internal development" and previewed the upcoming release of a new model.

Sam Altman stated that "Codex has changed OpenAI's internal development" and previewed the upcoming release of a new model.

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Sam Altman recently posted on X that Codex has "changed the way OpenAI is built" in the past few months, and that the team is about to deliver a batch of "great upcoming models." This statement is a qualitative summary of internal engineering practices by senior management, without disclosing a timeline or specific models. Based on previous releases and public materials, Codex is positioned as a proxy capability for software engineering, permeating OpenAI's product development and internal project collaboration. The official DevDay 2025 review also emphasized its supporting role in demonstrations and product building.

In addition to official statements, media and developer channels have consistently reported on Codex's capabilities and benchmark performance, demonstrating its superior suitability for engineering scenarios compared to general-purpose models in areas such as automated repair, long-running tasks, and cost control. However, details regarding "which new models will be released and when" have not yet been officially confirmed, and there is uncertainty in external reports and community discussions; please refer to subsequent official announcements for confirmation.

Frequently Asked Questions

Q: Where did Altman's original quote come from, and what did he say?

A: According to his public post on X, Codex has changed the way OpenAI is built in recent months, and said that "there are some great models coming soon", while thanking the team for their efforts.

Q: Does this mean that the official release of the new model is complete?

A: No, it's not equal to. This statement is a preliminary announcement; there is no specific information regarding the model, release date, or price yet.

Q: In which scenarios is Codex currently being used?

A: The OpenAI Developer Blog and Event Recap states that Codex is used throughout internal R&D and DevDay setup and demonstrations for parallel tasks, code modification, and engineering collaboration.

Q: Are there any external performance or benchmark references?

A: Several tech media outlets and reviews have stated that the new version of Codex (such as GPT-5-Codex) has improved in engineering benchmarks and long-duration tasks, but details are subject to official documentation and review updates.

Q: What direct impact will this have on developers?

A: In the short term, pay attention to Codex's integration with ChatGPT/IDE/CLI and toolchain updates; regarding the "upcoming model", wait for OpenAI's official announcement and migration guidelines.

SamAltman says Codex is changing its build process. OpenAI executives tease upcoming model release Codex's proxy capabilities for software engineering Details regarding the release schedule for the new model have not yet been disclosed. DevDay 2025 Review Emphasizes Codex's Supporting Role Codex in parallel tasks and code modification applications Media reports indicate that the new version of Codex has improved engineering benchmarks. Long-duration tasks and cost control are better suited for engineering projects Specific details about the upcoming model will be available from the official website. Codex is widely used for internal project collaboration within OpenAI. Altman posted a message on the X platform to express his gratitude to the team. This is a preview and not an official release or pricing announcement. Developers should pay attention to the ChatGPT and IDE integration path. Follow updates to Codex in the CLI toolchain Community discussions still leave the release date uncertain. Performance of the engineering agent in automatic repair scenarios Codex practices in OpenAI's product development process Code automation and long-process orchestration capabilities Differences between external evaluations and official documentation Speculation on the possible naming and positioning of the new version of Codex Engineering advantages compared to general models Potential migration impact on the developer ecosystem Please follow subsequent announcements and migration guidance page. Observations on Changes in OpenAI's Internal Construction Methods Discussion of Engineering Benchmark Results and Reproduction Methods A breakdown of the technology stack behind the DevDay demo Codex in automated repair regression testing Agency Design with Cost and Delay Trade-offs How can enterprise teams evaluate the value of Codex integration? Impact on the IDE plugin and extension ecosystem Capability boundary guesses for upcoming models Task decomposition and parallel execution in R&D collaboration Possibly optimized for long contexts and tool usage. Altman's description of strategic signals and rhythm judgments Pay attention to API limit pricing and availability information. Summary of Open Source Community and Third-Party Evaluation Updates Compatibility with existing workflows and migration costs Security compliance and code quality control considerations Potential synergy with protocols such as MCP Practical Path to Improve Engineering Productivity A New Paradigm of Code Search, Refactoring, and Proxy Collaboration Long-term task hosting capabilities in complex projects Team knowledge base and change management collaboration mechanism Event time and information source verification prompts Product Outlook for Enterprise SaaS Integration The gap between model evaluation rankings and real-world usage The impact of engineering outsourcing on R&D organizations How developers track versions and roadmaps Key points to note regarding Codex API documentation updates Observation of New Model Public Beta Qualifications and Application Methods

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