Data & privacy
Does ChatGPT Train on My Data?
Per-plan breakdown for 2026. Which tiers train on your data, which don't, and the one setting that changes everything on the free tier.
Book a discovery callQuick answer
Free and Plus: yes, unless you opt out. Team, Enterprise, and API: no, by default and by contract. The opt-out on the free tier is a single toggle in Settings > Data Controls - it takes 30 seconds and takes effect immediately.
The question "does ChatGPT train on my data" has a different answer depending on which version of ChatGPT you're using. Most small businesses use the free web interface or ChatGPT Plus - both of which train on your conversations by default, though you can turn this off. The paid tiers above Plus provide a contractual commitment that your data won't be used for training at all.
This page also explains what "training" actually involves - because the risk isn't quite what most people imagine, and being specific about it helps you make a better decision about which tier to use.
Per-plan breakdown
Which ChatGPT plans train on your data in 2026
Five plan tiers, five different policies. The key distinction is between consumer plans (Free, Plus) and business plans (Team, Enterprise, API). Note that ChatGPT Plus provides no training-related improvement over the free tier - it's a common misconception.
| Plan | Price | Trains on data? | DPA | Human review | Notes |
|---|---|---|---|---|---|
| Free | £0 | Opt-out only | No | Possible | Trains by default. Toggle off in Settings > Data Controls > Improve the model for everyone. |
| Plus | £16/mo | Opt-out only | No | Possible | Same training policy as Free. Plus upgrades speed and model access - not data protections. |
| Team | ~£20/user/mo | No | Yes | Limited, confidential | Not used for training by default. DPA included. Retention for safety monitoring still applies. |
| Enterprise | Custom | No | Yes | Contractually restricted | No training, extended retention controls, SSO, audit logs. Human review access is contractually restricted. |
| API | Usage-based | No | Yes | Limited, confidential | API terms commit to no training by default. DPA available. Requires technical integration. |
Source: OpenAI Privacy Policy, Terms of Use, and API Data Usage Policy - verified May 2026. "Human review" refers to contractor or staff access for quality, safety, or training-label purposes.
These plans train on your data by default
- Free tier - opt out to stop
- ChatGPT Plus - opt out to stop
These plans never train on your data
- ChatGPT Team (~£20/user/mo)
- ChatGPT Enterprise
- OpenAI API
How to turn training off
Opting out on the free and Plus tiers - step by step
This applies to the consumer free and Plus tiers only. If you're on Team, Enterprise, or using the API, training is already off by default - you don't need to do anything.
Open Settings
Click your name or profile icon in the bottom-left corner of ChatGPT. Select 'Settings' from the menu.
Go to Data Controls
In the Settings panel, click 'Data Controls'. This is where all training and history settings live.
Toggle off 'Improve the model for everyone'
Switch this toggle to the off position. This stops your future conversations from being used to train OpenAI models. The toggle takes effect immediately.
Optionally turn off chat history
Turning off 'Save chat history and training' also stops training AND removes conversations from your sidebar. Use this if you want both. Note: this is essentially the same opt-out through a different toggle - they are linked.
Verify the change is saved
Close and reopen Settings. Confirm the toggle remains off. There's no confirmation email - the change is saved automatically.
Important: this is forward-looking only
Opting out stops future conversations from being used for training. It doesn't retroactively remove past conversations from any model training runs that may have already taken place before you enabled the opt-out. OpenAI also retains conversations for 30 days for safety monitoring regardless of this setting.
What "training" actually means
What OpenAI is actually doing with your conversations
"Training on your data" sounds alarming but the mechanism matters. Understanding what's actually happening helps you assess the real risk for your specific situation - and avoid both over-reaction and under-reaction.
RLHF (Reinforcement Learning from Human Feedback)
Human raters score ChatGPT's responses, and the model is adjusted to produce more of what scores well
Your conversations might be shown to a human contractor who rates whether the response was good or bad. That rating helps shape future model behaviour. This is why the 'human review' column matters.
Supervised fine-tuning
Examples of ideal conversations are used to teach the model the right format and style
Actual conversations (or edited versions of them) can serve as training examples. If your conversation is selected, the content of what you wrote could directly influence how the model is trained to respond to similar inputs.
Pre-training data
Vast amounts of text scraped from the internet and other sources are used to build the model's foundational knowledge
ChatGPT conversations are not typically used for pre-training (that uses web-scale data). The training risk from your conversations is at the fine-tuning and RLHF stage - which is more targeted but uses real user interactions.
Safety and abuse monitoring
All conversations are reviewed algorithmically (and sometimes by humans) for harmful content
This happens regardless of your training opt-out. The 30-day retention period exists for this purpose. It's separate from the training question - opting out of training doesn't opt you out of safety monitoring.
The practical takeaway
The realistic training risk for most conversations is low - OpenAI processes enormous volumes of data and the chance of any specific conversation having a meaningful influence on model behaviour is small. The risk that matters for businesses is the 30-day safety retention window and the possibility of human contractor review. That risk doesn't disappear with the training opt-out. It only fully disappears on Team, Enterprise, or API plans.
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