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OpenAI gpt-4-32k

GPT-4 32k (OpenAI)

Retired

Yes — GPT-4 32k is retired. OpenAI deprecated it on June 6, 2024 and shut it down on June 6, 2025; API requests to it now fail. The recommended replacement is GPT-4o.

The 32,000-token variant of the original GPT-4, sold at twice the price of the 8k model when a long context was still a premium feature. Access was gated behind a waitlist for most of its life, so it never had the reach of plain gpt-4. GPT-4o made it redundant: 128k of context, faster, and cheaper than the 8k model it replaced.

The facts

Provider OpenAI
Model id gpt-4-32k
Also published as gpt-4-32k-0613, gpt-4-32k-0314
Released June 13, 2023
Deprecated June 6, 2024
Shutdown June 6, 2025 · 419 days ago
Status Retired
Last verified July 30, 2026

What to use instead

OpenAI GPT-4o gpt-4o Provider-recommended Active

GPT-4o takes 128k of context, so nothing that fit in 32k needs chunking. It is a Chat Completions model with the same message format — the only required change is the id.

What parameters gpt-4o 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": "gpt-4-32k"
+ "model": "gpt-4o"

Frequently asked questions

When did OpenAI GPT-4 32k shut down?
OpenAI GPT-4 32k shut down on June 6, 2025. API requests to it fail from that date onward.
What replaces OpenAI GPT-4 32k?
OpenAI recommends GPT-4o (`gpt-4o`) as the replacement for OpenAI GPT-4 32k. GPT-4o takes 128k of context, so nothing that fit in 32k needs chunking. It is a Chat Completions model with the same message format — the only required change is the id.
Is OpenAI GPT-4 32k still available?
No. OpenAI GPT-4 32k is retired and no longer served — it was shut down on June 6, 2025. Calls to it return an error.
How do I migrate from OpenAI GPT-4 32k to gpt-4o?
Swap the model id in your API call: replace "gpt-4-32k" with "gpt-4o". GPT-4o takes 128k of context, so nothing that fit in 32k needs chunking. It is a Chat Completions model with the same message format — the only required change is the id.
Does this apply to gpt-4-32k-0613 too?
Yes. OpenAI GPT-4 32k is also published as `gpt-4-32k-0613`, `gpt-4-32k-0314`; those ids share the same lifecycle dates as `gpt-4-32k`.

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:

[![gpt-4-32k](https://img.shields.io/endpoint?url=https://modeldeprecations.dev/badge/openai/gpt-4-32k.json)](https://modeldeprecations.dev/openai/gpt-4-32k)

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.