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AI reference

AI knowledge cutoff dates (updated June 2026)

Last updated June 2026 ยท reviewed monthly ยท every date sourced

Every major AI model is frozen at a knowledge cutoff: the date its training data ends. Below is a current, sourced reference for ChatGPT, Claude, Gemini, Grok, DeepSeek, Llama and more, newest models first. Where a provider does not officially publish a cutoff, we say so rather than guess.

Knowledge cutoff dates for every major AI model

The current flagship models, most recent first. Full per-provider tables follow below.

Current flagship AI model knowledge cutoff dates
ModelKnowledge cutoffReleased
Anthropic Claude Opus 4.8January 2026May 28, 2026
Cohere Command A+April 2025May 20, 2026
DeepSeek V4Not publishedApril 24, 2026
OpenAI GPT-5.5December 2025April 23, 2026current ChatGPT default model
xAI Grok 4.3December 2025April 2026beta
Google Gemini 3.1 ProJanuary 2025February 19, 2026
Mistral Large 3Not publishedDecember 2, 2025
Meta Llama 4August 2024April 5, 2025

What is a knowledge cutoff?

A knowledge cutoff is the date after which an AI model has no built-in knowledge. The model learned from text collected up to that date and nothing after it. Ask about something newer and the model either admits it does not know, or it runs a live web search (when the product supports browsing) to fill the gap.

That is why a brand, product, or page published after a model's cutoff can be invisible to that model until it either gets fetched by the browsing step or included in the next training run.

Knowledge cutoff vs. training cutoff vs. release date

Three different dates often get confused:

  • Training data cutoff โ€” the last date any data was fed into training.
  • Reliable knowledge cutoff โ€” the date through which the model answers dependably. It is usually earlier than the training cutoff, because the final months of data are thin. Anthropic, for example, publishes both for Claude; we list the reliable cutoff.
  • Release date โ€” when the public could first use the model. This often lands months, sometimes more than a year, after the cutoff.

ChatGPT and OpenAI cutoff dates

ChatGPT's cutoff depends on the model behind it. GPT-5.5 is the current default (since May 2026), the newest in a fast 5.x cadence; GPT-4o and GPT-4.1 were retired from ChatGPT through late 2025.

OpenAI GPT model knowledge cutoff dates
ModelKnowledge cutoffReleased
GPT-3October 2019June 2020inferred from the training data, not officially stated
GPT-3.5 TurboSeptember 2021March 1, 2023
GPT-4September 2021March 14, 2023the current default gpt-4 alias resolves to a ~December 2023 snapshot
GPT-4 TurboDecember 2023Nov 2023 (GA Apr 2024)OpenAI's GA materials cite April 2024; trackers cite December 2023
GPT-4oOctober 2023May 13, 2024
GPT-4.1June 2024April 14, 2025
o1October 2023December 5, 2024
o3June 2024April 16, 2025
o4-miniJune 2024April 16, 2025
GPT-5September 2024August 7, 2025mini and nano variants: May 2024
GPT-5.1September 2024November 12, 2025
GPT-5.2August 2025December 11, 2025
GPT-5.5December 2025April 23, 2026current ChatGPT default since May 2026 (5.3 was an interim release)

Source: OpenAI platform model docs.

Claude (Anthropic) cutoff dates

Anthropic lists two dates per model. The values below are the reliable knowledge cutoff (the more conservative, dependable date); the training cutoff is typically a few months later.

Anthropic Claude model knowledge cutoff dates
ModelKnowledge cutoffReleased
Claude 3 (Haiku, Sonnet, Opus)August 2023March 2024
Claude 3.5 SonnetApril 2024June 2024
Claude 3.5 HaikuJuly 2024November 2024
Claude 3.7 SonnetOctober 2024February 2025
Claude Opus 4 / Sonnet 4March 2025May 2025
Claude Opus 4.1January 2025August 2025
Claude Sonnet 4.5January 2025September 2025
Claude Haiku 4.5February 2025October 2025
Claude Opus 4.5May 2025November 2025
Claude Opus 4.8January 2026May 28, 2026
Claude Fable 5January 2026June 2026

Source: Anthropic model cards.

Gemini (Google) cutoff dates

Google did not publish official cutoffs for the Gemini 1.0 and 1.5 generations. From 2.0 onward the dates are documented, though Google Cloud and AI Studio docs sometimes disagree by a month or two.

Google Gemini model knowledge cutoff dates
ModelKnowledge cutoffReleased
Gemini 1.0Not publishedDecember 2023
Gemini 1.5 ProNot publishedFebruary 2024
Gemini 1.5 FlashNot publishedMay 2024
Gemini 2.0 FlashAugust 2024Dec 2024 (GA Feb 2025)Vertex docs cite June 2024
Gemini 2.5 ProJanuary 2025March 2025
Gemini 2.5 FlashJanuary 2025April 2025
Gemini 3 ProJanuary 2025November 18, 2025
Gemini 3.1 ProJanuary 2025February 19, 2026

Source: Google Gemini API docs.

Grok (xAI) cutoff dates

xAI publishes cutoffs for some Grok versions but not others. Grok leans heavily on live data from X, so its effective recency is often newer than its stated cutoff.

xAI Grok model knowledge cutoff dates
ModelKnowledge cutoffReleased
Grok-1October 2023November 2023
Grok-2Not publishedAugust 2024
Grok-3November 2024February 17, 2025
Grok 4November 2024July 9, 2025
Grok 4.1Not publishedNovember 17, 2025
Grok 4.3December 2025April 2026beta

Source: xAI model docs.

DeepSeek cutoff dates

DeepSeek does not officially state knowledge cutoffs. Each model's data ends shortly before its release date, listed below.

DeepSeek model release dates
ModelKnowledge cutoffReleased
DeepSeek-V2Not publishedMay 2024
DeepSeek-V3Not publishedDecember 26, 2024
DeepSeek-R1Not publishedJanuary 20, 2025
DeepSeek-V3.1Not publishedAugust 21, 2025
DeepSeek-V3.2Not publishedDecember 1, 2025
DeepSeek-V4Not publishedApril 24, 2026

Source: DeepSeek API docs.

Llama (Meta) and Mistral cutoff dates

Meta Llama model knowledge cutoff dates
ModelKnowledge cutoffReleased
Llama 3 (8B)March 2023April 2024
Llama 3 (70B)December 2023April 2024
Llama 3.1December 2023July 2024
Llama 3.3 (70B)December 2023December 2024
Llama 4 (Scout, Maverick)August 2024April 5, 2025
Mistral model release dates
ModelKnowledge cutoffReleased
Mixtral 8x7BNot publishedDecember 2023
Mistral Large 2Not publishedJuly 2024
Mistral Small 3.xNot published2025
Mistral Large 3Not publishedDecember 2, 2025
Mistral Medium 3.5Not publishedApril 28, 2026

Sources: Meta Llama model cards and Mistral model docs. Mistral does not publish cutoffs.

Copilot, Perplexity, Amazon Nova and Cohere cutoff dates

Some products do not have their own cutoff. Microsoft Copilot runs OpenAI models, so it inherits their cutoff. Perplexity answers from live web search on top of its models. Amazon explicitly declines to define a Nova cutoff.

Copilot, Perplexity, Amazon Nova and Cohere cutoff dates
ModelKnowledge cutoffReleased
Microsoft CopilotInherits its OpenAI modelruns GPT-5.2 (M365, Dec 2025)no separate Copilot cutoff is published
Perplexity Sonar / Sonar ProNot publishedJanuary 2025built on Llama 3.3; answers from live web search
Amazon Nova (Micro, Lite, Pro, Premier)Not publishedDecember 2024AWS explicitly does not define a cutoff
Cohere Command AJune 2024March 2025
Cohere Command A+April 2025May 2026

Which AI models can search the web in real time?

A cutoff is not the whole story. ChatGPT, Gemini, Perplexity, Microsoft Copilot, and Grok can all fetch live web results, which lets them answer about events after their cutoff. But browsing only fires for some queries. For everything else the model falls back on its trained knowledge, and even when it browses, what it chooses to trust is shaped by what it learned before the cutoff. So the cutoff still matters for how your brand is understood, even on a model that can browse.

Why knowledge cutoffs matter for your AI visibility

If your brand, product, or a key page launched after a model's cutoff, that model has no memory of it. It will answer as if you do not exist, recommend competitors it does know, or describe an outdated version of you. Because every engine has a different cutoff and a different browsing behavior, the only way to know how you actually show up is to check each one.

That is what FixAEO's free AI visibility checker does: it scans how eight AI engines describe and recommend your brand, so you can see the gaps a cutoff leaves and fix them. See also why ChatGPT doesn't recommend your brand and the best AI search engines guide.

Frequently asked questions

What is a knowledge cutoff in AI?

A knowledge cutoff is the date after which an AI model has no built-in information. The model was trained on text gathered up to that date, so it has not memorized anything published afterwards. Ask about an event from after the cutoff and the model either says it does not know, or it searches the web (if the product supports browsing) to answer.

What is ChatGPT's knowledge cutoff date?

It depends on the model behind ChatGPT. GPT-5.5 (the current default since May 2026) has a December 2025 cutoff. GPT-5.2 has August 2025, GPT-5 has September 2024, GPT-4o has October 2023, and the original GPT-4 had September 2021. ChatGPT can also browse the web, so for current questions it pulls live results regardless of the underlying cutoff.

What is GPT-4o's knowledge cutoff date?

GPT-4o has an October 2023 knowledge cutoff and was released on May 13, 2024. OpenAI began retiring GPT-4o from ChatGPT in late 2025 in favor of the GPT-5 series.

When was GPT-4 released?

GPT-4 was released on March 14, 2023. Its original training cutoff was September 2021. The default gpt-4 alias in the API now resolves to a newer snapshot with a knowledge cutoff around December 2023.

What is Claude's knowledge cutoff date?

It varies by version. Claude Opus 4.8 (released May 2026) has a January 2026 reliable knowledge cutoff. Claude 3.5 Sonnet had April 2024, and Claude 3 had August 2023. Anthropic publishes two dates per model: a later training-data cutoff and an earlier reliable knowledge cutoff (the date through which the model answers dependably). We list the reliable cutoff.

What is Gemini's cutoff date?

Google's recent models (Gemini 2.5 and Gemini 3 Pro) carry a January 2025 cutoff. Gemini 2.0 Flash is around August 2024. Google did not publish official cutoffs for the Gemini 1.0 and 1.5 generations. Gemini answers most live queries through Google Search grounding rather than memory alone.

What is DeepSeek's knowledge cutoff date?

DeepSeek does not officially publish knowledge cutoffs for its models. DeepSeek-V3 shipped in December 2024, R1 in January 2025, and V4 in April 2026, so each model's data ends shortly before its release, but the company has not stated exact cutoff dates.

What is the difference between a knowledge cutoff and a training data cutoff?

The training data cutoff is the last date that any data was included in training. The reliable knowledge cutoff is the date through which the model answers dependably, which is usually earlier because the most recent months are thin and less reliable. Release date is different again: it is when the public could first use the model, typically several months to over a year after the cutoff.

Which AI model has the most recent knowledge cutoff?

As of June 2026, Claude Opus 4.8 and Claude Fable 5 lead with a January 2026 cutoff, followed by OpenAI GPT-5.5 and xAI Grok 4.3 (both December 2025). These dates move every few months as new models ship, which is why we review this page monthly.

Does web browsing make the knowledge cutoff irrelevant?

Not entirely. When a model browses the web (as ChatGPT, Gemini, Perplexity, Copilot, and Grok can), it can answer questions about events after its cutoff. But browsing only fires for some queries, the model still leans on its trained knowledge for everything else, and its judgment about what to trust is shaped by what it learned before the cutoff. The cutoff still matters for how a brand is understood.

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

Different cutoffs are a big reason. A model trained through January 2026 knows about products, funding rounds, and rebrands that a model frozen at October 2023 has never seen. The models also differ in training data, retrieval behavior, and how confidently they answer, so the same prompt produces different results across ChatGPT, Claude, Gemini, and the rest.

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

A model with an earlier cutoff has no memory of it. Until that content is either picked up by the model's web-browsing step or included in a future training run, the model answers as if your content does not exist. This is exactly why newer brands and pages struggle to get mentioned by AI engines, and why tracking your visibility across engines matters.

How do I get AI models to know about recent information?

Three levers. First, publish content that the browsing-enabled models can fetch live (clean pages, an llms.txt, fast load). Second, build the third-party signals (reviews, mentions, structured data) that models trust. Third, monitor which engines actually mention you, since each has a different cutoff and retrieval behavior. FixAEO's free AI visibility checker shows where you stand across eight engines.

How often do AI companies update their model knowledge cutoffs?

Every few months. The major labs ship a new flagship model two to four times a year, and each one usually advances the cutoff. Because this is a fast-moving, current-facts topic, we review and update this page monthly.

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