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OpenAI o1-pro

o1-pro (OpenAI)

Deprecated Shuts down in 85 days

Yes — OpenAI deprecated o1-pro on April 22, 2026 and shuts it down on October 23, 2026 (in 85 days). The recommended replacement is GPT-5.6 Sol.

The long-compute variant of o1, available only through the Responses API and priced for problems where minutes of thinking are worth it. Deprecated in April 2026 with an October shutdown.

The facts

Provider OpenAI
Model id o1-pro
Also published as o1-pro-2025-03-19
Released March 19, 2025
Deprecated April 22, 2026
Shutdown October 23, 2026 · in 85 days
Status Deprecated
Last verified July 30, 2026

What to use instead

OpenAI GPT-5.6 Sol gpt-5.6-sol Provider-recommended Active

OpenAI directs o1-pro traffic to Sol with reasoning set to its pro mode rather than to a separate model id. The dial moved from the id into the request body.

What parameters gpt-5.6-sol accepts on modelparams.dev

Change the id

In most cases the migration is one string. Check the parameter differences before you ship — newer models drop older sampling knobs more often than they add them. 

- "model": "o1-pro"
+ "model": "gpt-5.6-sol"

Frequently asked questions

When will OpenAI o1-pro shut down?
OpenAI o1-pro is scheduled to shut down on October 23, 2026, in 85 days.
What replaces OpenAI o1-pro?
OpenAI recommends GPT-5.6 Sol (`gpt-5.6-sol`) as the replacement for OpenAI o1-pro. OpenAI directs o1-pro traffic to Sol with reasoning set to its pro mode rather than to a separate model id. The dial moved from the id into the request body.
Is OpenAI o1-pro still available?
Yes, for now. OpenAI o1-pro is deprecated but still answers requests until October 23, 2026. Deprecated models get no further updates and are the first to lose capacity.
How do I migrate from OpenAI o1-pro to gpt-5.6-sol?
Swap the model id in your API call: replace "o1-pro" with "gpt-5.6-sol". OpenAI directs o1-pro traffic to Sol with reasoning set to its pro mode rather than to a separate model id. The dial moved from the id into the request body.
Does this apply to o1-pro-2025-03-19 too?
Yes. OpenAI o1-pro is also published as `o1-pro-2025-03-19`; that id shares the same lifecycle dates as `o1-pro`.

Sources

Found something wrong? The data is one YAML file — edit it on GitHub.

This page, for machines

JSON Markdown Badge JSON

Drop the badge in a README so it turns red the day this model is retired:

[![o1-pro](https://img.shields.io/endpoint?url=https://modeldeprecations.dev/badge/openai/o1-pro.json)](https://modeldeprecations.dev/openai/o1-pro)

Other OpenAI models

All OpenAI deprecations →

How to use this site

The full guide, in Markdown. Copy it and hand it to a coding agent verbatim.

# How to use modeldeprecations.dev

[modeldeprecations.dev](https://modeldeprecations.dev) answers one question per model: is it deprecated,
when does it shut down, and what replaces it. Every date on the site is cited to the
provider's own documentation, with the date we last checked it.

Three lifecycle states are used, matching the providers' own vocabulary:

- **active** — still supported, no deprecation announced.
- **deprecated** — the provider has announced it is going away. It still answers requests.
- **retired** — API access is gone. Requests fail.

A model can be active *and* carry a shutdown date: Anthropic publishes a
"not sooner than" date and Google publishes an earliest shutdown date for models
that are current and fully supported. Those are reported as scheduled shutdowns,
not deprecations, because that is what the provider actually committed to.

## Check one model

```bash
curl https://modeldeprecations.dev/api/v1/models/openai/gpt-4-32k.json
```

Or fetch the page as Markdown, which includes the answer, the dates and the sources:

```bash
curl https://modeldeprecations.dev/openai/gpt-4-32k.md
```

## Full catalog

```bash
curl https://modeldeprecations.dev/api/v1/models.json
```

Ids are `provider/model`. Dated snapshots (`gpt-4-32k-0613`) are listed as aliases of
their canonical entry rather than as separate records.

Each entry carries `computed_status`, the lifecycle state recomputed against the build
date — so a model whose shutdown has passed reads `retired` without anyone editing data.

## Badges

A shields.io endpoint per model, for READMEs that should go red when a model dies:

```
https://img.shields.io/endpoint?url=https://modeldeprecations.dev/badge/openai/gpt-4-32k.json
```

## Calendar and changelog

- Subscribe to every shutdown date: https://modeldeprecations.dev/calendar.ics
- Changelog RSS: https://modeldeprecations.dev/changelog.xml

## JSON Schema

```bash
curl https://modeldeprecations.dev/api/v1/schema.json
```

## Contribute

Data lives in YAML under `models/{provider}/{model}.yaml` in the
[GitHub repo](https://github.com/mnfst/modeldeprecations.dev). Every lifecycle date needs a source URL; CI rejects a
date without one. Open a PR.

## For agents

- Machine-readable overview: https://modeldeprecations.dev/llms.txt
- This guide plus every model inline: https://modeldeprecations.dev/llms-full.txt
- Any page also exists as Markdown: append `.md` to a model URL.
- In a browser, this site registers a **WebMCP** tool on `navigator.modelContext`:
  `check_model_deprecation`, `list_shutdowns`, `find_replacement`, and `get_usage_guide`.
- Parameters each model accepts are catalogued on the sibling site, https://modelparams.dev.