model_not_found Decoder

Common error patterns we recognize

Different providers return deprecation errors in slightly different shapes. The decoder handles each one — paste any of these patterns and it will identify the model.

{"error":{"message":"The model `gpt-4.1-nano` has been deprecated...","type":"invalid_request_error","code":"model_not_found"}}

{"type":"error","error":{"type":"not_found_error","message":"model: claude-3-haiku-20240307"}}

{"error":{"code":404,"message":"models/gemini-2.0-flash is not found for API version v1beta"}}

google.api_core.exceptions.NotFound: 404 Publisher Model 'projects/.../publishers/anthropic/models/claude-3-7-sonnet@20250219' not found

Why this happens

AI providers retire older model versions on a rolling schedule. OpenAI typically gives 6-12 months of notice; Anthropic uses 12-month deprecation windows; Google often retires preview models more aggressively. Each provider publishes the schedule in their docs, but watching every changelog is impractical for a team.

The decoder works against a continuously synced dataset, so if a model is officially marked deprecated by its provider, it appears here within a day. If you paste an error and we don't find a match, the error usually isn't a deprecation — common alternatives are a typo in the model id, missing API key access to a private preview model, or a region/billing issue. It could also be a temporary outage — check the AI status hub for the official provider status pages.

Privacy

The decoder runs entirely in your browser. Your error message, including any internal model ids, customer ids, or request payloads it might contain, is never sent to a server. The matching logic and the dataset of 193 deprecations are bundled into the page itself.