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Anthropic Google OpenAI

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Anthropic 29 Google 24 OpenAI 103
Google gemini-3.1-flash-lite

Gemini 3.1 Flash-Lite (Google)

Shutdown scheduled Shuts down in 281 days

No — Gemini 3.1 Flash-Lite is not deprecated as of July 30, 2026. Google has not deprecated it, but publishes May 7, 2027 (in 281 days) as the earliest date it could be retired. Google points new work at Gemini 3.5 Flash-Lite.

The Flash-Lite of the 3.1 generation, and the model Google names as the replacement for the 2.0 and 2.5 Lite tiers. It is not deprecated, but Google has already published May 2027 as the earliest date it could be retired.

The facts

Provider Google
Model id gemini-3.1-flash-lite
Released May 7, 2026
Deprecated not deprecated
Shutdown (earliest) May 7, 2027 · in 281 days

The provider publishes this as the earliest date the model could be retired, not a commitment. It may move later, but not earlier.
Status Shutdown scheduled
Last verified July 30, 2026

What to use instead

Google Gemini 3.5 Flash-Lite gemini-3.5-flash-lite Provider-recommended Active

Named as the eventual successor. No action is needed yet — this model is current and fully supported.

What parameters gemini-3.5-flash-lite 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-3.1-flash-lite"
+ "model": "gemini-3.5-flash-lite"

Frequently asked questions

When will Google Gemini 3.1 Flash-Lite shut down?
Google Gemini 3.1 Flash-Lite is scheduled to shut down on May 7, 2027, in 281 days. Google publishes this as the earliest possible retirement date rather than a firm commitment, so it may move later — but not earlier.
What replaces Google Gemini 3.1 Flash-Lite?
Google recommends Gemini 3.5 Flash-Lite (`gemini-3.5-flash-lite`) as the replacement for Google Gemini 3.1 Flash-Lite. Named as the eventual successor. No action is needed yet — this model is current and fully supported.
Is Google Gemini 3.1 Flash-Lite still available?
Yes. Google Gemini 3.1 Flash-Lite is active and fully supported as of July 30, 2026.
How do I migrate from Google Gemini 3.1 Flash-Lite to gemini-3.5-flash-lite?
Swap the model id in your API call: replace "gemini-3.1-flash-lite" with "gemini-3.5-flash-lite". Named as the eventual successor. No action is needed yet — this model is current and fully supported.

Models that migrate here

Google names Gemini 3.1 Flash-Lite as the replacement for 4 models.

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-3.1-flash-lite](https://img.shields.io/endpoint?url=https://modeldeprecations.dev/badge/google/gemini-3.1-flash-lite.json)](https://modeldeprecations.dev/google/gemini-3.1-flash-lite)

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.