Last Updated: February 13, 2026 | *This page is reviewed and updated monthly*
A knowledge cutoff date is the point in time after which a large language model (LLM) has no training data. Any events, discoveries, or changes that occurred after an LLM’s knowledge cutoff are invisible to that model unless it has real-time internet access. Understanding these dates is essential for anyone relying on AI-generated answers for research, business decisions, or content creation.
The table below lists the confirmed knowledge cutoff dates for every major LLM as of February 2026, along with whether each model can access live internet data to supplement its training.
Knowledge Cutoff Dates for Every Major LLM (2026)
Model
Provider
Knowledge Cutoff
Internet Access
Notes
GPT-4o
OpenAI
October 2023
Yes (browsing)
Default model in ChatGPT Plus
GPT-4.5
OpenAI
December 2024
Yes (browsing)
Research-grade, limited rollout
GPT-4 Turbo
OpenAI
April 2024
Yes (browsing)
Available via API
GPT-4
OpenAI
September 2021
Yes (browsing)
Original GPT-4, largely superseded
GPT-3.5
OpenAI
September 2021
No (free tier)
Legacy model
Claude 4 Opus
Anthropic
Early 2025
Yes (tool use)
Most capable Claude model
Claude 4 Sonnet
Anthropic
Early 2025
Yes (tool use)
Balanced speed and capability
Claude 3.5 Sonnet
Anthropic
April 2024
Limited
Previous generation
Gemini 2.0
Google
Real-time
Yes (native)
Integrated with Google Search
Gemini 1.5 Pro
Google
November 2023
Yes (native)
Long-context model
Llama 3.1 (405B)
Meta
December 2023
No
Open-source, largest Llama
Mistral Large 2
Mistral
Mid-2024
No
European AI leader
DeepSeek-V3
DeepSeek
Late 2024
Yes (optional)
Chinese open-source model
Grok-2
xAI
Real-time
Yes (X/Twitter)
Integrated with X platform
Perplexity Online
Perplexity
Real-time
Yes (native)
Search-first AI model
Copilot (GPT-4)
Microsoft
October 2023
Yes (Bing)
Uses GPT-4 with Bing search
Note: Cutoff dates are based on publicly available information and may shift as providers update their models. Models with internet access can retrieve information beyond their cutoff date, though training-data knowledge and retrieved knowledge may differ in reliability.
What Does “Knowledge Cutoff” Actually Mean?
A knowledge cutoff date defines the boundary of an LLM’s training data. Every large language model is trained on a massive dataset of text collected up to a specific point in time. The model learns patterns, facts, and associations from this data, but it has no inherent awareness of events that occurred after the cutoff.
There are three important nuances to understand:
Training data is not exhaustive. Even within the cutoff period, an LLM may not have encountered every piece of published information. Its knowledge depends on what was included in its training corpus.
Internet access supplements but does not replace training. Models with browsing capabilities (like GPT-4o or Gemini) can retrieve recent information, but they treat this data differently than their core training knowledge. Retrieved information may be less reliable or harder for the model to synthesize.
Cutoff dates are approximate. Providers often give a month rather than a specific day, and there can be a gap between when data collection ends and when the model is released.
Why Knowledge Cutoff Dates Matter for Your Business
If you rely on AI for any business function, understanding knowledge cutoffs directly affects the reliability of the outputs you receive. Here are the most common areas of impact:
Content creation and marketing. An LLM writing about your industry may cite outdated statistics, reference defunct companies, or miss recent trends. Content teams using AI should always verify any factual claims against current sources.
Competitive research. Asking ChatGPT about your competitors’ products or pricing will return information that may be months or years out of date. For competitive intelligence, always combine AI outputs with real-time monitoring tools.
SEO and GEO strategy. If you are optimizing content for AI search engines (like ChatGPT Search or Perplexity), understanding which models can access current information versus which rely on training data helps you prioritize where freshness matters most.
Customer support. AI chatbots built on models with older cutoff dates may provide incorrect product information or outdated policies. Regular fine-tuning or retrieval-augmented generation (RAG) setups help mitigate this risk.
How to Check Any LLM’s Knowledge Cutoff
If you are unsure about a model’s cutoff date, you can verify it directly by asking the model two questions:
Direct question: “What is your knowledge cutoff date?” Most models will answer this directly and accurately.
Fact-check question: Ask about a well-known event with a specific date. For example, “Who won the 2024 US presidential election?” If the model cannot answer, its cutoff predates the event.
Which LLMs Have Real-Time Internet Access?
As of 2026, the following major LLMs have built-in internet access that allows them to retrieve information beyond their training data cutoff. The method of access varies by provider:
OpenAI (ChatGPT): Browsing mode uses Bing to retrieve web results. Available on GPT-4o and GPT-4 Turbo for Plus, Team, and Enterprise subscribers.
Google (Gemini): Native integration with Google Search. Gemini can access real-time information by default.
Perplexity: Built as a search-first AI. Every response includes citations from live web sources.
Microsoft Copilot: Uses Bing search integrated directly with GPT-4.
xAI (Grok): Accesses real-time data from X (formerly Twitter) and web sources.
Anthropic (Claude): Can use tool integrations to access the web, but does not browse by default in standard chat mode.
For a deeper dive into which AI models can access the internet and how their browsing capabilities differ, see our complete guide to [LLM Internet Access](/blog/llm-internet-access/).
How Often Do Knowledge Cutoffs Change?
Knowledge cutoff dates change whenever a provider releases a new version of their model trained on more recent data. The pace varies by provider:
OpenAI typically updates cutoff dates with major model releases (GPT-4, GPT-4 Turbo, GPT-4o). Historically, gaps between cutoff date and release date have ranged from 6 to 18 months.
Google updates Gemini more frequently and maintains near-real-time access through Search integration.
Anthropic updates Claude’s cutoff with each new model generation (Claude 3, Claude 3.5, Claude 4).
Meta and Mistral update with major open-source model releases, typically every 6–12 months.
Frequently Asked Questions
What is ChatGPT’s knowledge cutoff date?
ChatGPT’s knowledge cutoff depends on the model version you are using. GPT-4o, the default model in ChatGPT Plus as of 2026, has a training data cutoff of October 2023. However, ChatGPT Plus users have browsing enabled by default, which allows the model to search the web for current information beyond its cutoff date.
What is GPT-4o’s knowledge cutoff date?
GPT-4o’s knowledge cutoff is October 2023. This means GPT-4o was trained on data collected through October 2023 and does not have inherent knowledge of events after that date. With browsing enabled, it can access more recent information from the web.
What is the difference between a knowledge cutoff and a training data cutoff?
These terms are used interchangeably. Both refer to the date after which an LLM’s training dataset does not contain information. Some providers use “knowledge cutoff” while others prefer “training data cutoff,” but the meaning is identical.
Does internet access make the knowledge cutoff irrelevant?
No. Internet access supplements an LLM’s training data but does not replace it. Models with browsing capabilities may still default to training-data knowledge for many queries and only search the web when explicitly prompted or when they detect the question requires current information. The quality and reliability of retrieved web information can also vary.
How do I ensure AI gives me up-to-date information?
Three strategies: (1) Use a model with internet access and explicitly ask it to search for current information. (2) Verify any date-sensitive claims against primary sources. (3) Use AI search monitoring tools like Otterly.ai to track how AI engines are representing your brand and ensure the information is current.
Which LLM has the most recent knowledge cutoff?
As of February 2026, Google’s Gemini 2.0 and Perplexity’s online models effectively have real-time knowledge because they are natively integrated with web search. Among models measured by traditional cutoff dates, OpenAI’s GPT-4.5 and Anthropic’s Claude 4 have the most recent training data, both extending into late 2024 or early 2025.
