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Providers

Amazon Anthropic Cohere DeepSeek Google MiniMax Mistral Moonshot AI OpenAI Qwen xAI Xiaomi MiMo Z.ai

Providers

Amazon 8 Anthropic 31 Cohere 35 DeepSeek 5 Google 34 MiniMax 17 Mistral 53 Moonshot AI 18 OpenAI 106 Qwen 26 xAI 26 Xiaomi MiMo 4 Z.ai 22
Google text-embedding-004

Text Embedding 004 (Google)

Retired

Yes — Text Embedding 004 is retired. Google shut it down on January 14, 2026; API requests to it now fail. The recommended replacement is Gemini Embedding 2.

Google's pre-Gemini-branded embedding model from April 2024, and the id most early Vertex and AI Studio RAG stacks were built on. It shut down on 14 January 2026 after a twenty-one month run. Embedding retirements are the expensive kind: the vectors it produced are not comparable with any successor's, so migrating means re-embedding the whole corpus.

The facts

Provider Google
Model id text-embedding-004
Released April 9, 2024
Deprecated date not published
Shutdown January 14, 2026 · 201 days ago
Status Retired
Last verified August 3, 2026

What to use instead

Google Gemini Embedding 2 gemini-embedding-2 Provider-recommended Active

What parameters gemini-embedding-2 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": "text-embedding-004"
+ "model": "gemini-embedding-2"

Frequently asked questions

When did Google Text Embedding 004 shut down?
Google Text Embedding 004 shut down on January 14, 2026. API requests to it fail from that date onward.
What replaces Google Text Embedding 004?
Google recommends Gemini Embedding 2 (`gemini-embedding-2`) as the replacement for Google Text Embedding 004.
Is Google Text Embedding 004 still available?
No. Google Text Embedding 004 is retired and no longer served — it was shut down on January 14, 2026. Calls to it return an error.
How do I migrate from Google Text Embedding 004 to gemini-embedding-2?
Swap the model id in your API call: replace "text-embedding-004" with "gemini-embedding-2". 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

JSON Markdown Badge JSON

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

[![text-embedding-004](https://img.shields.io/endpoint?url=https://modeldeprecations.dev/badge/google/text-embedding-004.json)](https://modeldeprecations.dev/google/text-embedding-004)

Other Google models

All Google 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.