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Qwen gte-rerank

GTE Rerank (Qwen)

Retired

Yes — GTE Rerank is retired. Qwen shut it down on May 30, 2026; API requests to it now fail. The recommended replacement is Qwen3 Rerank.

The reranker Alibaba inherited from its GTE embedding research line, and the last Model Studio id that was not Qwen-branded. It was retired on 30 May 2026, which completed the rebranding of every retrieval model on the platform.

The facts

Provider Qwen
Model id gte-rerank
Released
Deprecated date not published
Shutdown May 30, 2026 · 65 days ago
Status Retired
Last verified August 3, 2026

What to use instead

Qwen Qwen3 Rerank qwen3-rerank Provider-recommended Active

What parameters qwen3-rerank 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": "gte-rerank"
+ "model": "qwen3-rerank"

Frequently asked questions

When did Qwen GTE Rerank shut down?
Qwen GTE Rerank shut down on May 30, 2026. API requests to it fail from that date onward.
What replaces Qwen GTE Rerank?
Qwen recommends Qwen3 Rerank (`qwen3-rerank`) as the replacement for Qwen GTE Rerank.
Is Qwen GTE Rerank still available?
No. Qwen GTE Rerank is retired and no longer served — it was shut down on May 30, 2026. Calls to it return an error.
How do I migrate from Qwen GTE Rerank to qwen3-rerank?
Swap the model id in your API call: replace "gte-rerank" with "qwen3-rerank". Keep the rest of the request the same, then re-check the parameters the new model accepts before you ship.

Sources

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

This page, for machines

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

[![gte-rerank](https://img.shields.io/endpoint?url=https://modeldeprecations.dev/badge/qwen/gte-rerank.json)](https://modeldeprecations.dev/qwen/gte-rerank)

Other Qwen models

All Qwen 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.