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AI Model Retirements: What Stops Working Between Now and April 2027

Anthropic, OpenAI and Google retire a long list of AI models by April 2027. Here is every date, the replacement models and how to find old IDs in your code.

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If your scripts, apps or internal tools call a hosted AI model by its ID, check the dates below. Anthropic, OpenAI and Google are retiring a long list of older models between now and the spring of 2027. After the retirement date, API calls to a retired model ID fail or, for some Google models, are quietly sent to a newer model with different pricing and behaviour.

We collected the dates from each provider’s official deprecation page on 13 November 2026. Providers can move dates, so check the linked pages before you plan a migration.

Retirement Calendar

DateProviderModelsReplacement
30 Nov 2026Anthropicclaude-sonnet-4-5-20250929Claude Sonnet 5.5 (claude-sonnet-5-5)
1 Dec 2026Googlegemini-2.5-pro, gemini-2.5-flashRequests reroute to gemini-3.8-flash and gemini-3.5-flash-lite
11 Dec 2026OpenAIgpt-5, gpt-5-mini, gpt-5-nano, gpt-5-pro, o3, o3-proGPT-6.1 Sol / Terra, GPT-6 Luna
6 Jan 2027OpenAItts-1, tts-1-hd, gpt-4o-mini-ttsgpt-realtime-2.1-mini
14 Jan 2027OpenAIGPT-4o and GPT-4.1 snapshots, incl. gpt-4o-mini-2024-07-18, gpt-4.1-mini-2025-04-14GPT-6 Luna
20 Jan 2027OpenAIgpt-realtime, gpt-audio, gpt-4o-realtime, gpt-4o-audio and mini variantsgpt-realtime-2.1, gpt-audio-1.5
26 Feb 2027OpenAIwhisper-1, gpt-4o-transcribe, gpt-4o-mini-transcribegpt-transcribe, gpt-live-transcribe
15 Mar 2027Googlegemini-2.5-flash-imagegemini-3.1-flash-lite-image
1 Apr 2027OpenAIgpt-5.1, gpt-5.3-codex, gpt-5.4-nanoGPT-6 Sol, GPT-6 Luna

Anthropic (Claude)

Claude Sonnet 4.5 has a tentative retirement date of 30 November 2026; Anthropic names Claude Sonnet 5.5 as its replacement. Several other models, including Claude Opus 4.5, 4.6 and Sonnet 4.6, now show “not sooner than” dates between late November 2026 and February 2027. Those aren’t retirement announcements yet, but they mark the earliest point at which a retirement could happen. Amazon Bedrock and Google Cloud set their own schedules for Claude models. Source: Anthropic model deprecations.

OpenAI

OpenAI’s list is the longest. The original GPT-5 family and the o3 reasoning models leave the API on 11 December 2026, followed in January by the remaining GPT-4o and GPT-4.1 snapshots and the first-generation realtime and audio models. In late February, whisper-1, the speech-to-text model many self-hosted transcription scripts still use, is retired along with the GPT-4o transcription models. OpenAI is also retiring some platform features: the /v1/prompts endpoint, Agent Builder and the Evals dashboard on 30 November 2026, and /v1/audio/translations on 26 February 2027. Source: OpenAI deprecations.

Google (Gemini API)

From 1 December 2026, requests to gemini-2.5-pro and gemini-2.5-flash are automatically routed to newer models. Your code keeps working, but answers, latency and cost will change, so test before then. Several preview text-to-speech and live-audio models have an earliest shutdown date of 17 November 2026. Google’s page notes that all listed dates are the earliest possible retirement dates. Source: Gemini API deprecations.

Google has also replaced the Gemini CLI terminal agent for most individual users; see how to install Antigravity CLI.

How to Find Model IDs in Your Code

Search your repositories, configuration and cron scripts for the retiring IDs. For example:

grep -rnE 'claude-sonnet-4-5|gemini-2.5-(pro|flash)|gpt-5b|bo3b|gpt-4o|gpt-4.1|whisper-1|tts-1' --include=*.{py,js,ts,go,php,sh,yml,yaml,json,toml,env} .

The pattern also matches newer IDs such as gpt-5.1, which retires in April 2027, so review each hit before you change it.

Also check environment files, secrets managers and CI variables, which grep in a repository won’t see. Pin model IDs in one configuration value rather than scattering them through the code, so the next migration is a one-line change.

Avoid Forced Migrations Altogether

If a workload doesn’t need the newest hosted model, an open model on your own server never gets retired. See how to run models locally with Ollama or serve them to a team with vLLM, and use the LLM VRAM calculator to size the hardware.

Rahul

I, Rahul Kumar am the founder and chief editor of TecAdmin.net. I am a Red Hat Certified Engineer (RHCE) and working as an IT professional since 2009..

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