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.
| Model | Knowledge cutoff | Released |
|---|---|---|
| Anthropic Claude Opus 4.8 | January 2026 | May 28, 2026 |
| Cohere Command A+ | April 2025 | May 20, 2026 |
| DeepSeek V4 | Not published | April 24, 2026 |
| OpenAI GPT-5.5 | December 2025 | April 23, 2026current ChatGPT default model |
| xAI Grok 4.3 | December 2025 | April 2026beta |
| Google Gemini 3.1 Pro | January 2025 | February 19, 2026 |
| Mistral Large 3 | Not published | December 2, 2025 |
| Meta Llama 4 | August 2024 | April 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.
| Model | Knowledge cutoff | Released |
|---|---|---|
| GPT-3 | October 2019 | June 2020inferred from the training data, not officially stated |
| GPT-3.5 Turbo | September 2021 | March 1, 2023 |
| GPT-4 | September 2021 | March 14, 2023the current default gpt-4 alias resolves to a ~December 2023 snapshot |
| GPT-4 Turbo | December 2023 | Nov 2023 (GA Apr 2024)OpenAI's GA materials cite April 2024; trackers cite December 2023 |
| GPT-4o | October 2023 | May 13, 2024 |
| GPT-4.1 | June 2024 | April 14, 2025 |
| o1 | October 2023 | December 5, 2024 |
| o3 | June 2024 | April 16, 2025 |
| o4-mini | June 2024 | April 16, 2025 |
| GPT-5 | September 2024 | August 7, 2025mini and nano variants: May 2024 |
| GPT-5.1 | September 2024 | November 12, 2025 |
| GPT-5.2 | August 2025 | December 11, 2025 |
| GPT-5.5 | December 2025 | April 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.
| Model | Knowledge cutoff | Released |
|---|---|---|
| Claude 3 (Haiku, Sonnet, Opus) | August 2023 | March 2024 |
| Claude 3.5 Sonnet | April 2024 | June 2024 |
| Claude 3.5 Haiku | July 2024 | November 2024 |
| Claude 3.7 Sonnet | October 2024 | February 2025 |
| Claude Opus 4 / Sonnet 4 | March 2025 | May 2025 |
| Claude Opus 4.1 | January 2025 | August 2025 |
| Claude Sonnet 4.5 | January 2025 | September 2025 |
| Claude Haiku 4.5 | February 2025 | October 2025 |
| Claude Opus 4.5 | May 2025 | November 2025 |
| Claude Opus 4.8 | January 2026 | May 28, 2026 |
| Claude Fable 5 | January 2026 | June 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.
| Model | Knowledge cutoff | Released |
|---|---|---|
| Gemini 1.0 | Not published | December 2023 |
| Gemini 1.5 Pro | Not published | February 2024 |
| Gemini 1.5 Flash | Not published | May 2024 |
| Gemini 2.0 Flash | August 2024 | Dec 2024 (GA Feb 2025)Vertex docs cite June 2024 |
| Gemini 2.5 Pro | January 2025 | March 2025 |
| Gemini 2.5 Flash | January 2025 | April 2025 |
| Gemini 3 Pro | January 2025 | November 18, 2025 |
| Gemini 3.1 Pro | January 2025 | February 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.
| Model | Knowledge cutoff | Released |
|---|---|---|
| Grok-1 | October 2023 | November 2023 |
| Grok-2 | Not published | August 2024 |
| Grok-3 | November 2024 | February 17, 2025 |
| Grok 4 | November 2024 | July 9, 2025 |
| Grok 4.1 | Not published | November 17, 2025 |
| Grok 4.3 | December 2025 | April 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.
| Model | Knowledge cutoff | Released |
|---|---|---|
| DeepSeek-V2 | Not published | May 2024 |
| DeepSeek-V3 | Not published | December 26, 2024 |
| DeepSeek-R1 | Not published | January 20, 2025 |
| DeepSeek-V3.1 | Not published | August 21, 2025 |
| DeepSeek-V3.2 | Not published | December 1, 2025 |
| DeepSeek-V4 | Not published | April 24, 2026 |
Source: DeepSeek API docs.
Llama (Meta) and Mistral cutoff dates
| Model | Knowledge cutoff | Released |
|---|---|---|
| Llama 3 (8B) | March 2023 | April 2024 |
| Llama 3 (70B) | December 2023 | April 2024 |
| Llama 3.1 | December 2023 | July 2024 |
| Llama 3.3 (70B) | December 2023 | December 2024 |
| Llama 4 (Scout, Maverick) | August 2024 | April 5, 2025 |
| Model | Knowledge cutoff | Released |
|---|---|---|
| Mixtral 8x7B | Not published | December 2023 |
| Mistral Large 2 | Not published | July 2024 |
| Mistral Small 3.x | Not published | 2025 |
| Mistral Large 3 | Not published | December 2, 2025 |
| Mistral Medium 3.5 | Not published | April 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.
| Model | Knowledge cutoff | Released |
|---|---|---|
| Microsoft Copilot | Inherits its OpenAI model | runs GPT-5.2 (M365, Dec 2025)no separate Copilot cutoff is published |
| Perplexity Sonar / Sonar Pro | Not published | January 2025built on Llama 3.3; answers from live web search |
| Amazon Nova (Micro, Lite, Pro, Premier) | Not published | December 2024AWS explicitly does not define a cutoff |
| Cohere Command A | June 2024 | March 2025 |
| Cohere Command A+ | April 2025 | May 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.