AI Knowledge Cutoff Dates: Every Major LLM Updated for 2026

Last Updated: July 2026. This page is reviewed and updated monthly.

A knowledge cutoff is the last date included in an LLM's training data. As of July 2026, the most recent cutoffs are Claude Opus 5 (May 2026), Gemini 3.6 Flash (March 2026), and GPT-5.5 (December 2025). Older models like GPT-4o, still alive in API integrations, have an October 2023 cutoff.

Anything published after a model's cutoff is invisible to it unless it searches the web. A blog post from January 2025 doesn't exist to GPT-4o, but it does exist to GPT-5.5. Different models, different knowledge. That's why an AI visibility tool tracks your brand per model, not just per platform.

Below is the complete breakdown of every major LLM's knowledge cutoff and web access capabilities.

Quick Comparison: Which Model Knows the Most?

All Knowledge Cutoff Dates by Provider

Cutoff dates are based on publicly available information and may shift as providers update models. Models with internet access can retrieve information beyond their cutoff, though training knowledge and retrieved knowledge differ in reliability.

OpenAI (GPT)

Anthropic (Claude)

Anthropic distinguishes between a training data cutoff (the full range of data used) and a reliable knowledge cutoff (the date through which knowledge is most accurate). The reliable cutoff is sometimes a few months before the training data cutoff.

Google (Gemini)

Google has teased Gemini 4 for later in 2026.

xAI (Grok)

Grok 5 is reportedly in training, expected later in 2026.

Meta (Llama)

Meta hasn't shipped a new Llama since April 2025. The long-promised Llama 4 Behemoth never launched, and in April 2026 Meta pivoted to a closed-weight model (Muse Spark) under its Superintelligence Labs division. The open-weight Llama line is effectively frozen with mid-2024 knowledge.

Perplexity

Microsoft Copilot

DeepSeek

DeepSeek doesn't officially publish cutoff dates. Its long-rumored R2 reasoning model remains unreleased as of July 2026.

Mistral

The Knowledge Gap (July 2026)

The gap between the freshest and stalest models keeps widening. Here's what that means in practice:

GPT-4o has a 33-month gap. Its October 2023 cutoff means anything from late 2023 onward is missing from its training. OpenAI retired it from ChatGPT in February 2026, but it's still running inside many API integrations and third-party tools that were never updated.

Llama 4 has a nearly two-year gap. With an August 2024 cutoff, no web access, and no successor in sight, every tool built on open-weight Llama is running on frozen knowledge. That's a significant share of local and fine-tuned deployments.

At the other end, training data is fresher than ever: Claude Opus 5 has data through May 2026, Gemini 3.6 Flash through March 2026, and GPT-5.5 and Grok 4.3 through December 2025. The frontier models are now months, not years, behind the present.

The takeaway: your visibility in AI answers depends on which model the person is using. You might show up in GPT-5.5 and Claude Opus 5 and be completely absent from Llama or a GPT-4o-based integration.

What "Knowledge Cutoff" Actually Means

A knowledge cutoff is the last date included in the model's training data. Everything the model "knows" comes from text it was trained on up to that point. After the cutoff, the model is guessing, relying on patterns, or searching the web.

Three things people get wrong about this:

Training data doesn't include everything that was published. Even within the cutoff period, the model may not have seen your content. Whether your page was included depends on crawl frequency, domain authority, how the data was curated, and whether your site lets AI crawlers like GPTBot and ClaudeBot in at all. Being published before the cutoff doesn't guarantee inclusion.

Internet access isn't the same as knowledge. When GPT-5.5 or Gemini searches the web, it retrieves information in real time. But it processes that differently than its core training. Web-retrieved answers tend to be more literal and sometimes less accurate than answers from training data. The model knows its training data; it reads the web.

Cutoff dates are approximate. Providers give a month, not a specific day. There's often a gap between when data collection ends and when the model ships. Different types of data (news, academic papers, social media) may have different effective cutoffs within the same model.

How Knowledge Cutoffs Affect AI Search Visibility

If you care about how your brand shows up in ChatGPT, Perplexity, Gemini, or Copilot, cutoff dates directly affect whether you're visible at all.

Your content might not exist yet

A blog post published in November 2025 is invisible to any model with an earlier cutoff. Models without web browsing can't see it at all. Models with browsing can find it, but only when they decide to search, which isn't every query.

Content freshness alone isn't a GEO strategy. You need content that's fresh enough to be found by browsing models, and authoritative enough to be included in future training data.

Each platform sees a different internet

Perplexity and Gemini always search the web. ChatGPT's browsing is triggered selectively. Claude uses tools for web access but doesn't browse by default.

The same question asked across different AI platforms can produce wildly different answers about your brand. One might pull from training data, another from live search. Your share of voice can vary dramatically across platforms for this reason.

Training data is the long game

When a model answers from memory (no web search), your visibility depends entirely on what was in the training data. If your content was published, authoritative, and well-cited before the cutoff, you show up. If not, you're invisible.

This is the long game: producing content strong enough to be included in the next training cycle. Tools like Temso help you track how your brand appears across each AI platform so you can see where you're visible and where you're not.

How to Check Any LLM's Cutoff Date

Two methods work with any model:

Ask directly. Type "What is your knowledge cutoff date?" Most models answer this accurately.

Test with a known event. Ask about something with a specific date, like a major acquisition or election result. If the model doesn't know, its cutoff predates the event.

Which AI Models Can Search the Web?

Internet access varies widely. Not all models with "web access" use it the same way.

Always searching (real-time): Perplexity searches the web for every query and cites its sources. Gemini is natively integrated with Google Search. Grok continuously pulls from X and the broader web.

Browsing on demand: ChatGPT triggers its built-in search when the model or the user decides it's needed. Copilot has Bing integration built in.

Tool-based access: Claude can use web tools when they're available, but doesn't browse by default in standard chat mode.

No web access: Llama, DeepSeek, Mistral, and other open-weight models typically run without internet access. Deployments can add it, but the base models don't have it.

How Often Do Knowledge Cutoffs Change?

OpenAI now ships new models every one to three months. GPT-5.2 through GPT-5.6 all arrived between December 2025 and July 2026, moving the flagship cutoff from September 2024 to December 2025.

Anthropic updates with each model generation. Claude Opus 5 has training data through May 2026, currently the most recent cutoff of any major model.

Google updates Gemini frequently and maintains near-real-time access through Search integration. Gemini 3.6 Flash has a March 2026 cutoff.

xAI released Grok 4.5 in July 2026, following Grok 4.3 (December 2025 cutoff), supplemented by real-time X data.

Meta has stalled. No new Llama has shipped since April 2025, leaving the open-weight line at an August 2024 cutoff.

Frequently Asked Questions

What is ChatGPT's knowledge cutoff?

GPT-5.5, ChatGPT's default model, has a December 2025 cutoff. GPT-4o, still used in many API integrations, has an October 2023 cutoff. ChatGPT can search the web to cover the gap.

Which LLM has the most recent knowledge?

For real-time information, Perplexity and Gemini search the web natively. For training-based knowledge, Claude Opus 5 leads with data through May 2026, followed by Gemini 3.6 Flash (March 2026) and GPT-5.5 (December 2025).

Does web browsing make the cutoff irrelevant?

No. Models default to training knowledge and only search the web when triggered. Training data is deeper and more reliable than web-retrieved information.

What's the difference between "knowledge cutoff" and "training data cutoff"?

Most providers use these interchangeably. Anthropic is the exception: their training data cutoff is the full data range, while their reliable knowledge cutoff is the date through which knowledge is most accurate (sometimes a few months earlier).

What if my content was published after a model's cutoff?

Models with browsing (ChatGPT, Gemini, Perplexity) can find it via web search. Models without browsing cannot see it at all. Your visibility depends on both content freshness and the model's capabilities.

Why does the same question get different answers on different AI models?

Each model has different training data, different cutoffs, and different browsing capabilities. A question about "latest AI tools" gets a 2023 answer from GPT-4o and a 2026 answer from GPT-5.5.

How often do companies update their model cutoffs?

OpenAI now releases new models every one to three months. Anthropic updates with each generation. Google ships Gemini updates several times a year. Meta hasn't updated Llama since April 2025.

Which AI models have web access?

Perplexity, Gemini, and Grok always search the web. ChatGPT and Copilot search on demand. Claude uses tools for web access when available. Llama and other open-weight models typically don't have web access unless you add it.