An instrument for AI model releases

AI Model Radar watches the major providers and curated open-source releases, detects when a model is new or changed, and reports the facts — calmly and without hype.

How detection works

On a schedule we poll each provider's official model-list endpoint, normalise every entry into a single canonical schema, and compute a significance hash over the fields that matter (name, status, kind, modalities, context window, max output, pricing, license). When that hash changes, we record a detection with a field-level before/after diff. New models and changed models appear on the feed and can trigger an email alert.

How summaries are written

Every model page is built first from deterministic facts. We then gather public context via web search and ask an AI model to write a short, neutral summary. Summaries are AI-generated and always show the sources they drew on. If the AI step is unavailable, the page still renders fully from the facts alone, marked “summary pending”. We never render unstructured AI output as HTML.

Attribution

Specifications come from each provider's own API. Contextual sources are linked on every model page with outbound, no-follow links. Provider names and models are the property of their respective owners; this is an independent registry, not affiliated with any provider.

Privacy

Email alerts use double opt-in: you confirm your address before anything is sent. We store only your email, your provider filter, and the timestamps needed to operate the service. Every email includes a one-click unsubscribe, and you can request deletion at any time. We never share your data.