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Providers

Alibaba 26 Amazon Bedrock 8 Anthropic 31 Cohere 35 DeepSeek 5 Google 34 MiniMax 17 Mistral 53 Moonshot AI 18 OpenAI 106 Vertex AI 8 xAI 26 Xiaomi MiMo 4 Z.ai 22
Moonshot AI moonshot-v1-128k

Moonshot v1 128k (Moonshot AI)

Retired

Yes — Moonshot v1 128k is retired. Moonshot AI shut it down on August 31, 2026; API requests to it now fail. The recommended replacement is Kimi K2.6.

The long-context member of Moonshot's original API family, and the model that built the company's reputation for handling very long documents back when 128k was a headline number. Context length was part of the model id rather than a runtime property, which is why there are three of these. Closed to new users after the K3 launch and sunsetting on 31 August, printed in Moonshot's docs without a year.

The facts

Provider Moonshot AI
Model id moonshot-v1-128k
Released —
Deprecated date not published
Shutdown August 31, 2026 ·
Status Retired
Last verified August 3, 2026

What to use instead

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

Nothing in the current range encodes context length in the id. Pick the model, not the window - K2.6 gives you 256k and K3 gives you 1M.

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-v1-128k"
+ "model": "kimi-k2.6"

Frequently asked questions

When did Moonshot AI Moonshot v1 128k shut down?
Moonshot AI Moonshot v1 128k shut down on August 31, 2026. API requests to it fail from that date onward.
What replaces Moonshot AI Moonshot v1 128k?
Moonshot AI recommends Kimi K2.6 (`kimi-k2.6`) as the replacement for Moonshot AI Moonshot v1 128k. Nothing in the current range encodes context length in the id. Pick the model, not the window - K2.6 gives you 256k and K3 gives you 1M.
Is Moonshot AI Moonshot v1 128k still available?
No. Moonshot AI Moonshot v1 128k is retired and no longer served — it was shut down on August 31, 2026. Calls to it return an error.
How do I migrate from Moonshot AI Moonshot v1 128k to kimi-k2.6?
Swap the model id in your API call: replace "moonshot-v1-128k" with "kimi-k2.6". Nothing in the current range encodes context length in the id. Pick the model, not the window - K2.6 gives you 256k and K3 gives you 1M.

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-v1-128k](https://img.shields.io/endpoint?url=https://modeldeprecations.dev/badge/moonshot/moonshot-v1-128k.json)](https://modeldeprecations.dev/moonshot/moonshot-v1-128k)

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.