Some AI models train on user data, others do not. Learn which companies do it, how to opt out, and how third-party platforms offer better privacy.
Some AI models do train on user data, but it depends on the provider, the product, and the access method. OpenAI may use ChatGPT consumer conversations for training (with opt-out). Google may use Gemini conversations when activity tracking is enabled. Anthropic does not train on Claude conversations by default. API access - used by third-party platforms like Krater.ai - is generally excluded from training data across all major providers.

AI models are trained on large datasets of text, code, and other content. This initial training happens before the model is released. The question of "training on user data" refers to whether your ongoing conversations are used to improve future versions of the model.
There are two separate concerns:
When people ask "does AI train on my data?" they usually mean the second concern.
OpenAI may use conversations from the consumer ChatGPT product to train future models. Users can opt out by disabling "Improve the model for everyone" in settings. API usage is explicitly excluded from training. ChatGPT Plus, Pro, and Business plans may have different defaults - always check current settings.
Google may use Gemini conversations to improve its models when Gemini Apps Activity is enabled. Users can pause this in their Google account settings. The Gemini API has separate terms that typically exclude data from training.
Anthropic does not use Claude conversations for model training by default. This applies to both the consumer Claude product and the API. This makes Claude one of the most privacy-forward AI providers.
Llama models are open-source. Meta AI, the consumer product, may use data for training. When Llama is accessed via API through platforms like Krater.ai, your data is not sent to Meta for training.
Krater.ai takes a unique approach to AI privacy by displaying badges on every model in the platform:
This information is visible before you start a conversation, so you can choose the model that matches your privacy needs. No other major platform offers per-model transparency badges. Krater.ai also shows environmental impact badges alongside privacy information.
| Provider | Consumer Product | API Access | Opt-Out Available |
|---|---|---|---|
| OpenAI (ChatGPT) | May train on data | Excluded from training | Yes (in settings) |
| Google (Gemini) | May train when activity enabled | Excluded from training | Yes (pause activity) |
| Anthropic (Claude) | Not used for training | Not used for training | N/A (default off) |
| Meta (Llama) | May train (Meta AI) | Not sent to Meta | Varies |
| Krater.ai | N/A - API-only access | Excluded from training | N/A (never trains) |
Note: Policies are current as of early 2026. Always check provider documentation for the latest terms.
Related Reading
You can minimize the risk by using API-based platforms, opting out of training in consumer products, and choosing providers with strong privacy defaults (like Anthropic). However, no system provides an absolute guarantee - treat AI conversations accordingly.
Using AI via API-based platforms is generally considered safe for work purposes. API terms exclude data from training. For highly sensitive enterprise data, consult your organization's security policies and consider using providers with SOC 2 compliance.
Krater.ai does not train any models on your data. It accesses AI models via their APIs, which are excluded from training. Your conversations are not used for model improvement.