The pace of large language model releases makes it hard to keep a mental map of what shipped, when, and from whom. The AI Model Changelog Digest collapses the major releases from OpenAI, Anthropic, Google, Meta, and Mistral into a single, filterable timeline so you can answer “which model came after which, and what did it change?” in seconds instead of digging through five separate vendor blogs.
How it works
Every entry records the model name, provider, release date, a short note on what the release changed or was known for, and a capability tag such as reasoning, vision, long-context, coding, or efficiency. You filter by provider or capability, search by keyword, and the timeline re-sorts newest-first. Each entry links to the provider’s own announcement so you can read the full details. The data is a static, curated list bundled with the page — all filtering happens locally, and nothing you type is transmitted.
Tips and examples
Use the capability filter when you are choosing a model for a specific job — filter to “coding” or “long-context” to see only the releases that targeted that need, across all providers at once. Watch release dates against knowledge cutoffs and pricing: a newer model in the same family is often both smarter and cheaper, so an older one you standardised on a year ago may now be the wrong default. Because release cadence is fast, treat the most recent few weeks as a starting point and confirm the exact spec on the vendor’s official page before you commit a production system to a particular version.