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OpenAI o4-mini-deep-research

o4-mini-deep-research (OpenAI)

Retired

Yes — o4-mini-deep-research is retired. OpenAI deprecated it on April 22, 2026 and shut it down on July 23, 2026; API requests to it now fail. The recommended replacement is GPT-5.6 Sol.

The cheaper deep-research model, sized for research loops run at volume rather than one report at a time. Retired July 23, 2026 alongside o3-deep-research.

The facts

Provider OpenAI
Model id o4-mini-deep-research
Also published as o4-mini-deep-research-2025-06-26
Released June 26, 2025
Deprecated April 22, 2026
Shutdown July 23, 2026 · 7 days ago
Status Retired
Last verified July 30, 2026

What to use instead

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

No deep-research id exists in the current generation. Expect to rebuild the search-and-summarise loop in application code.

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": "o4-mini-deep-research"
+ "model": "gpt-5.6-sol"

Frequently asked questions

When did OpenAI o4-mini-deep-research shut down?
OpenAI o4-mini-deep-research shut down on July 23, 2026. API requests to it fail from that date onward.
What replaces OpenAI o4-mini-deep-research?
OpenAI recommends GPT-5.6 Sol (`gpt-5.6-sol`) as the replacement for OpenAI o4-mini-deep-research. No deep-research id exists in the current generation. Expect to rebuild the search-and-summarise loop in application code.
Is OpenAI o4-mini-deep-research still available?
No. OpenAI o4-mini-deep-research is retired and no longer served — it was shut down on July 23, 2026. Calls to it return an error.
How do I migrate from OpenAI o4-mini-deep-research to gpt-5.6-sol?
Swap the model id in your API call: replace "o4-mini-deep-research" with "gpt-5.6-sol". No deep-research id exists in the current generation. Expect to rebuild the search-and-summarise loop in application code.
Does this apply to o4-mini-deep-research-2025-06-26 too?
Yes. OpenAI o4-mini-deep-research is also published as `o4-mini-deep-research-2025-06-26`; that id shares the same lifecycle dates as `o4-mini-deep-research`.

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:

[![o4-mini-deep-research](https://img.shields.io/endpoint?url=https://modeldeprecations.dev/badge/openai/o4-mini-deep-research.json)](https://modeldeprecations.dev/openai/o4-mini-deep-research)

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.