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modeldeprecations.dev

Kimi K3 (Moonshot AI)

Active

No — Kimi K3 is not deprecated as of August 3, 2026. Moonshot AI has announced neither a deprecation nor a shutdown date for it.

Moonshot's flagship, a 2.8T-parameter model with a 1M-token window, native visual understanding and a focus on long-horizon coding work. Its launch is what closed kimi-k2.5 and the entire moonshot-v1 series to new users, so it is both the current model and the direct cause of the largest retirement in Moonshot's history.

The facts

Provider Moonshot AI
Model id kimi-k3
Released
Deprecated not deprecated
Shutdown not published
Status Active
Last verified August 3, 2026

Frequently asked questions

Is Moonshot AI Kimi K3 still available?
Yes. Moonshot AI Kimi K3 is active and fully supported as of August 3, 2026.

Models that migrate here

Moonshot AI names Kimi K3 as the replacement for one model.

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:

[![kimi-k3](https://img.shields.io/endpoint?url=https://modeldeprecations.dev/badge/moonshot/kimi-k3.json)](https://modeldeprecations.dev/moonshot/kimi-k3)

Other Moonshot AI models

All Moonshot AI 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.