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Providers

Anthropic Cohere DeepSeek Google MiniMax Mistral Moonshot AI OpenAI xAI Z.ai

Providers

Anthropic 29 Cohere 35 DeepSeek 5 Google 24 MiniMax 17 Mistral 53 Moonshot AI 18 OpenAI 103 xAI 26 Z.ai 22
DeepSeek deepseek-v4-flash

DeepSeek V4 Flash (DeepSeek)

Active

No — DeepSeek V4 Flash is not deprecated as of August 3, 2026. DeepSeek has announced neither a deprecation nor a shutdown date for it.

The smaller half of DeepSeek V4 — 284B parameters with 13B active — and the landing place for every integration that used to call deepseek-chat or deepseek-reasoner. Thinking is a request parameter here rather than a separate id, which is what made those two aliases redundant. A million tokens of context at fourteen cents per million input is the reason it is the default migration target on the DeepSeek side of this catalog.

The facts

Provider DeepSeek
Model id deepseek-v4-flash
Released April 24, 2026
Deprecated not deprecated
Shutdown not published
Status Active
Last verified August 3, 2026

Frequently asked questions

Is DeepSeek V4 Flash still available?
Yes. DeepSeek V4 Flash is active and fully supported as of August 3, 2026.

Models that migrate here

DeepSeek names DeepSeek V4 Flash as the replacement for 3 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:

[![deepseek-v4-flash](https://img.shields.io/endpoint?url=https://modeldeprecations.dev/badge/deepseek/deepseek-v4-flash.json)](https://modeldeprecations.dev/deepseek/deepseek-v4-flash)

Other DeepSeek models

All DeepSeek 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.