AI model deprecation tracker
Every major provider's model deprecations and retirements — with shutdown dates and the recommended replacement for each — in one place, updated continuously. Currently tracking 39 upcoming retirements across 5 providers.
See if your code uses any of these — one scan, no account:
curl -fsSL https://llmstatus.ai/install.sh | bashUpcoming retirements · 39
Subscribe & explore
See what just shipped alongside what's expiring on the model radar, or subscribe to the lifecycle feed: RSS · JSON Feed · retirements only.
Frequently asked
When is Qwen3-Next 80B-A3B (Thinking) retired?
Alibaba (Qwen) is retiring Qwen3-Next 80B-A3B (Thinking) on 2026-10-09. After that date, requests to the model will fail.
How do I know if my code uses a deprecated AI model?
Run the LLM Status CLI in your repo (curl -fsSL https://llmstatus.ai/install.sh | bash, then mm scan). It finds every model id referenced in your code, env, and infrastructure and flags the ones that are deprecating or retiring, with the recommended replacement for each.
Do AI providers announce deprecations?
Yes, but inconsistently — usually in docs or changelog pages, not a single feed, and often with only a few months of notice. LLM Status tracks these announcements across providers and surfaces the shutdown date and replacement in one place.
What happens when a deprecated model is retired?
Once a model reaches its retirement (end-of-life) date, API requests to that model id return an error and stop working. Migrating to the recommended replacement before the shutdown date avoids the outage.