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Concept Stack 07 Stack 04
Knowledge cutoff
Draft · pending editorial review Verified Oct 16, 2026 Review by Apr 14, 2027 4 sources
Short answer
A knowledge cutoff is the date after which a model has no built-in knowledge. Anything newer must come from search, files or connectors at question time. Current vendor-stated cutoffs run from April to June 2026, so a model can be months out of date on prices, products and news.
What it is
Models learn from data collected up to a certain date. After that date they know nothing unless the product fetches information for them. Vendors publish the cutoff for each model.
How it works
When web search, file search or connectors are on, the product retrieves current material and adds it to the prompt. When they’re off, the model answers from memory, confidently, even about things that have changed. xAI’s documentation states plainly that Grok has no knowledge of events after its training data unless search tools are enabled.
Benefits
- You know when to require search: prices, product lineups, regulations and news.
- Visibility planning. Christopher Penn argues that if some vendors stop refreshing model knowledge, classic search visibility matters more for being found by AI. That claim is unverified.
Limits and risks
- Confident and wrong. Out-of-date answers don’t come with a warning. Ask for sources and dates.
- Cutoffs are not uniform. Vendors distinguish a “reliable” cutoff from a broader training-data range.
Checked specs
Snapshot from official sources on Oct 16, 2026.
Best-fit stacks
Marketing content & social
Research, write, design and publish on-brand content, with the agent handling the first draft of everything.
Agent compatibility
| Tool in this entry | How agents connect |
|---|---|
| Perplexity | MCPAPI/CLIBulk import |
| Gemini (Google) | Agent platform API/CLIBulk import |
| Grok | Agent platform API/CLI Bulk import? |
Levels come from each tool's recorded, sourced compatibility. How the levels work.
Related entries
Sources
- Models overview · Anthropicofficial accessed Oct 16, 2026
- Models · OpenAIofficial accessed Oct 16, 2026
- Models and pricing · xAIofficial accessed Oct 16, 2026
- You Ask, I Answer: Handling AI Context Drift? · Christopher Penn, 2026-07-30Practitioner view accessed Oct 16, 2026
Practitioner views are restated in our words and labeled as views, not measured results. Product facts come from official sources dated above.
To verify before publishing
- Penn's claim that some vendors have stopped refreshing model knowledge is unverified
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