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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
Moonshot AI moonshot-v1-32k

Moonshot v1 32k (Moonshot AI)

Deprecated Shuts down in 28 days

Yes — Moonshot AI deprecated Moonshot v1 32k and shuts it down on August 31, 2026 (in 28 days). The recommended replacement is Kimi K2.6.

The middle tier of the original Moonshot API, priced between the 8k and 128k variants of the same underlying model. Choosing between the three was a billing decision rather than a capability one, a design Moonshot abandoned entirely with the Kimi-branded ids. It sunsets on 31 August with the rest of the v1 line.

The facts

Provider Moonshot AI
Model id moonshot-v1-32k
Released —
Deprecated date not published
Shutdown August 31, 2026 · in 28 days
Status Deprecated
Last verified August 3, 2026

What to use instead

Moonshot AI Kimi K2.6 kimi-k2.6 Provider-recommended Active

What parameters kimi-k2.6 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": "moonshot-v1-32k"
+ "model": "kimi-k2.6"

Frequently asked questions

When will Moonshot AI Moonshot v1 32k shut down?
Moonshot AI Moonshot v1 32k is scheduled to shut down on August 31, 2026, in 28 days.
What replaces Moonshot AI Moonshot v1 32k?
Moonshot AI recommends Kimi K2.6 (`kimi-k2.6`) as the replacement for Moonshot AI Moonshot v1 32k.
Is Moonshot AI Moonshot v1 32k still available?
Yes, for now. Moonshot AI Moonshot v1 32k is deprecated but still answers requests until August 31, 2026. Deprecated models get no further updates and are the first to lose capacity.
How do I migrate from Moonshot AI Moonshot v1 32k to kimi-k2.6?
Swap the model id in your API call: replace "moonshot-v1-32k" with "kimi-k2.6". 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:

[![moonshot-v1-32k](https://img.shields.io/endpoint?url=https://modeldeprecations.dev/badge/moonshot/moonshot-v1-32k.json)](https://modeldeprecations.dev/moonshot/moonshot-v1-32k)

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.