Standard input rises from $2 to $4 per million tokens and output from $10 to $20; batch, flex and priority rates double on the same day, and the model stays off the free tier.
OpenAI Evals goes read-only on 31 October; Agent Builder ends 30 November
EditorialBy TrustList Editorial
The Evals dashboard and API, the v1/prompts API and Agent Builder all shut down on 30 November. OpenAI points Evals users to Promptfoo and Agent Builder users to its Agents SDK; older image models go on 1 December.
About OpenAI Evals goes read-only on 31 October; Agent Builder ends 30 November
OpenAI Evals goes read-only on 31 October; Agent Builder ends 30 November
23 October 2026: Three OpenAI developer products reach their end in the next six weeks. Existing evals on the OpenAI Evals platform became read-only on 31 October 2026, and on 30 November the Evals dashboard and API, the v1/prompts API with its reusable prompt objects, and Agent Builder are all scheduled to shut down. OpenAI announced all three on 3 June; teams that have not migrated have until 30 November.
Not yet independently verified. The dates are those on OpenAI's deprecations page, which gives 3 June 2026 as the notice date and was re-read on 10 November 2026. The 31 October read-only step has passed and the 30 November shutdowns are still ahead. We will update this when it can be confirmed, and remove this note.
Update, 10 November 2026: OpenAI's deprecations page, re-read today, prints 3 June 2026 as the notice date for all of these changes. It still lists existing evals as read-only from 31 October 2026, and the Evals dashboard and API, Agent Builder and the reusable prompts (v1/prompts) API as shutting down on 30 November 2026. The read-only step has now passed.
What closes and where OpenAI points users
| Date | What changes | OpenAI's suggested route |
|---|---|---|
| 31 October 2026 | Existing evals become read-only | export results and move to another eval tool |
| 30 November 2026 | Evals dashboard and API shut down | Promptfoo, per OpenAI's migration guide |
| 30 November 2026 | v1/prompts API and reusable prompt objects shut down | move prompt content into application code |
| 30 November 2026 | Agent Builder shuts down | Agents SDK or ChatGPT Workspace Agents; ChatKit stays |
| 1 December 2026 | gpt-image-1-mini, gpt-image-1.5 and chatgpt-image-latest removed | gpt-image-2.5-sunburst or gpt-image-2.5-flare |
The graders documented for eval workflows are part of the Evals transition, OpenAI says, while fine-tuning has its own timeline.
Why the 31 October date matters more than it looks
Read-only evals can still be viewed but not run, so any regression test suite that calls the Evals API as part of a release pipeline stops being useful a month before the shutdown itself. Teams that gate model or prompt changes on OpenAI-hosted evals should move those tests, and the datasets and graders behind them, before 31 October, not 30 November. Reusable prompt objects carry a similar hidden dependency: applications that fetch a prompt by ID at run time will fail when the endpoint goes, so the prompt text has to be copied into code or a prompt store and redeployed first.
Today's model shutdowns and what follows
The deadlines sit inside a longer retirement schedule. On 23 October OpenAI's page lists the shutdown of a set of legacy snapshots it announced in April, including gpt-3.5-turbo, gpt-4, gpt-4-turbo, gpt-4o-2024-05-13, gpt-image-1, o1, o1-pro and o3-mini, which we covered in September. Further dates on the same page include 11 December for a group of GPT-5 and o3 snapshots, 6 January 2027 for new fine-tuning jobs by existing customers and for the older text-to-speech models, and 14 January 2027 for GPT-4o and GPT-4.1, which we reported on 14 October.
Sources
- OpenAI API documentation: Deprecations (read 2026-10-23), 23 October 2026
- OpenAI API documentation: Deprecations (re-read 10 November 2026), 10 November 2026
Categories & features
TrustList Weekly
The week in software and IT, in one email
The news that matters to buyers, new rankings and our own research. Every Thursday, free, and easy to leave.
You may be interested in
Infinitum Partners led a mix of equity and a credit facility at a stated $1.25 billion pre-money valuation. The 2018 company now sells training environments to AI labs and managed agents to enterprises.
B Capital and Kindred Ventures lead the round for the San Francisco company founded this year by former leads of NVIDIA's GR00T research; its Dream-1 model drives robot arms costing $2,000 to $10,000.
Moondream's open vision models stay open, but customers of its hosted inference and Lens products must move to Prime or elsewhere within 30 days. Terms were not disclosed.
The San Francisco company says it has worked with 11x, Orb and Square over three years, and will use the money to build an agent that maintains integrations.
The Montreal search vendor adds a Y Combinator-backed San Francisco start-up whose agents pull product attributes from spec sheets and PDFs. Anglera customers stay on their platform; terms were not disclosed.
The San Francisco company with roots in Kazakhstan does not say how much the extension adds to its DST-led August round. It reports $1 billion in annualised revenue, reached 18 months after launch.
The Carnegie Mellon spin-out began by building scanning hardware and switched to AI CAD software about two years ago. It says nearly 100 customers, including Caltrans, now use it.
More on TrustList
Everything here links back to the same verified catalogue. Pick your next stop.
- More United StatesThe ranking for this subject
- CompaniesAgencies, consultancies and IT service providers, ranked by verified reviews.
- ProductsSoftware and SaaS with pricing, features, integrations and alternatives.
- AwardsAnnual recognition decided by verified reviews and an independent jury.
- LaunchesNew products and releases, voted up by the community every day.
- AI ModelsBenchmark scores and community ratings for every major model.
- RequestsBuyers describe what they need; vendors respond directly.
- PeopleReviewers, authors and makers with public profiles.
- ComparePut up to four listings side by side before you shortlist.