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Anthropic Google OpenAI

Providers

Anthropic 29 Google 24 OpenAI 103
Google gemini-1.0-flash

Gemini 1.0 Flash (Google)

Retired

Yes — Gemini 1.0 Flash is retired and no longer served by Google, which has not published the exact shutdown date. The recommended replacement is Gemini 2.5 Flash.

The low-latency tier of the first Gemini generation, and the start of the Flash naming that Google still uses. Like 1.0 Pro it left the API without a published retirement date, which is why this page carries a status but no shutdown day.

The facts

Provider Google
Model id gemini-1.0-flash
Released —
Deprecated date not published
Shutdown not published
Status Retired
Last verified July 30, 2026

What to use instead

Google Gemini 2.5 Flash gemini-2.5-flash Provider-recommended Shutdown scheduled

Flash has stayed the name for the fast tier across four generations, so this is the natural target — but check the current Flash id, since 2.5 Flash is itself scheduled for retirement.

What parameters gemini-2.5-flash 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": "gemini-1.0-flash"
+ "model": "gemini-2.5-flash"

Frequently asked questions

What replaces Google Gemini 1.0 Flash?
Google recommends Gemini 2.5 Flash (`gemini-2.5-flash`) as the replacement for Google Gemini 1.0 Flash. Flash has stayed the name for the fast tier across four generations, so this is the natural target — but check the current Flash id, since 2.5 Flash is itself scheduled for retirement.
Is Google Gemini 1.0 Flash still available?
No. Google Gemini 1.0 Flash is retired and no longer served. Calls to it return an error.
How do I migrate from Google Gemini 1.0 Flash to gemini-2.5-flash?
Swap the model id in your API call: replace "gemini-1.0-flash" with "gemini-2.5-flash". Flash has stayed the name for the fast tier across four generations, so this is the natural target — but check the current Flash id, since 2.5 Flash is itself scheduled for retirement.

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:

[![gemini-1.0-flash](https://img.shields.io/endpoint?url=https://modeldeprecations.dev/badge/google/gemini-1.0-flash.json)](https://modeldeprecations.dev/google/gemini-1.0-flash)

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.