What is an AI model's knowledge cutoff?
The knowledge cutoff is the date after which a model's training data stops. Events, releases, prices, and documentation published after that date are not in the model's weights, so it can only know about them if you put them in the prompt or let it search the web. Providers publish the cutoff as a month or a specific day; this page shows it exactly as published.
Which AI model has the most recent knowledge cutoff?
Claude Fable 5.1 (Anthropic) has the most recent published cutoff of the 28 models tracked here: June 1, 2026. 13 models have a cutoff in 2026: Claude Fable 5.1, Claude Opus 5, Gemini 3.5 Flash-Lite, Gemini 3.6 Flash, Gemini 3.7 Flash, GPT-5.6 Luna and others.
How long after the knowledge cutoff is a model released?
Across the 28 models here with both dates published, the median gap from knowledge cutoff to release is 6 months. That is the time providers spend on training, safety evaluation, and deployment. The gap is computed from the two published dates, not estimated.
Does a newer knowledge cutoff make a model better?
Only for questions about recent events. A model with a 2024 cutoff can still out-reason one with a 2026 cutoff on math, code, or writing. Use the cutoff to decide whether you need to supply recent information yourself; use benchmarks and hands-on tests to judge capability.
How do I get an AI model to answer about things after its cutoff?
Three ways: paste the source material into the prompt (documents, release notes, data), enable a web-search or retrieval tool if the provider offers one, or use a model whose cutoff covers the period you care about. For anything that changes often, such as pricing, treat the model's built-in knowledge as stale and supply the current figure.
Which tracked models have the oldest knowledge cutoff?
GPT-4o Mini has the oldest published cutoff on this page: September 2023. 6 tracked models stop before 2025, including GPT-5.2, Llama 4 Maverick, Llama 4 Scout, DeepSeek R1, GPT-4o. Older models can still be the right pick when they are cheaper and the task does not depend on recent knowledge.