AI Models That Don't Train on Your Data: Policy Guide
Compare consumer, API and team training policies using official sources checked November 2026, with explicit source gaps and no retention assumptions.
Short answer: No-training is usually a property of the service and account terms, not the model name alone. OpenAI and Anthropic document no-training defaults for commercial and API products, with exceptions such as voluntary feedback. Google separates consumer apps, unpaid developer access, paid API use and Workspace. For other vendors, check the actual product terms rather than assuming a paid plan is private. Krater's Private badge identifies eligibility under its own provider registry.
Compare the route before comparing model names
A business can use a familiar model through a consumer account, a developer API, an employer-managed workspace or a third-party platform. The same name does not establish identical data use. Ask which company receives the request, which terms govern it and whether optional feedback or experimental features change the treatment of the submitted work.
The private AI hub explains Krater's badge and its limits. For a practical workflow, read private AI chat and how to make AI searches private. Neither a no-training policy nor an incognito setting removes the need to minimize sensitive information.
Consumer, API and team policy comparison
This table records the official material reachable during the November 2026 check. A source gap is not filled with an old assumption. “No training by default” does not mean no storage, no safety processing or no exceptions for information you voluntarily submit as feedback.
| Vendor | Consumer use | API use | Team or business use | Official source and check |
|---|---|---|---|---|
| OpenAI | Personal ChatGPT Free, Plus and Pro workspaces have data sharing enabled by default; users can change training controls | Inputs and outputs are not used to train models by default | Business and Enterprise content is not used for training by default | Data controls and enterprise privacy, checked November 2026 |
| Anthropic | Consumer chats and coding sessions may be used when users allow improvement, explicitly opt in or trigger specified safety review | Commercial inputs and outputs are not used to train by default; feedback and opt-in exceptions apply | Claude for Work uses commercial guidance, not the consumer policy | Consumer guidance and commercial guidance, checked November 2026 |
| Gemini Apps have their own privacy notice and Keep Activity controls; do not apply paid API terms to consumer accounts | Unpaid services can use submitted content and responses for improvement; paid services do not use prompts and responses to improve products. Regional exceptions and grounding terms matter | Workspace says data is not used for generative model training outside the domain without permission | Gemini Apps, API terms and Workspace privacy, checked November 2026 | |
| xAI | Current standalone Grok training default not verified in this check | Current API training default not verified in this check | The official guide describes dedicated business workspaces governed by enterprise terms; no blanket training default is inferred | Business workspace guide, checked November 2026. Legal privacy and enterprise-terms pages returned 403 |
| Perplexity | Consumer training default not reverified from reachable official help content | Official developer documentation says Customer Content is not used to train generative models by default, subject to product-specific terms | Do not substitute the API statement for an unverified Enterprise account policy | API privacy and security, checked November 2026. Consumer and enterprise help pages were blocked |
| Mistral | The privacy policy describes input and output use for training subject to opt-out; inspect the actual product setting | Commercial terms condition training on product defaults, choices, feedback and additional terms. Do not assume a universal API default | Apply the commercial agreement and product-specific controls; Labs and Preview models have explicit training exceptions | Privacy policy and commercial terms, checked November 2026 |
OpenAI and Anthropic: commercial defaults still have boundaries
OpenAI's data-controls page distinguishes training choices from memory and visible chat history. Turning off improvement does not itself delete existing conversations. It also explains that voluntarily submitted feedback may make the related conversation available for training. Businesses should not paste a consumer settings screenshot into an API contract review as if it proves the same thing.
Anthropic's commercial guidance similarly says that inputs and outputs from products such as Claude for Work and its API are not used to train by default. Its feedback guidance explains that an explicitly submitted report can include the related conversation. Consumer guidance has its own model-improvement choices and safety-review provisions. Match the policy to the actual account.
Google: distinguish paid API processing from consumer Gemini
Google's API terms are unusually explicit about the paid and unpaid distinction. Unpaid developer services can involve content use and human review for product improvement, while paid services have a different treatment. The terms also say the paid-data-use section applies to services in the EEA, Switzerland and the UK even when offered without charge. That regional distinction is important enough to verify directly rather than reduce to a one-word privacy rating.
Paid API terms still describe limited logging for safety and legal purposes, and grounding with Google Search has additional conditions. Workspace makes a separate commitment about training outside an organization's domain without permission. Neither statement should be transformed into a claim that every personal Gemini account has no history, no review or no operational retention.
xAI, Perplexity and Mistral: keep uncertainty visible
xAI's reachable business guide establishes separate workspace and contract boundaries. Its legal pages were blocked during this check, so this article does not repeat an unverified consumer or API default. That gap should lead to a direct policy check before purchase, not a presumption that every Grok route is interchangeable.
Perplexity's reachable API privacy documentation establishes a no-training default for Customer Content under API terms, with product-specific qualifications. It explicitly warns that zero data retention is not the default. The consumer and enterprise policy gaps remain separate: an API statement is not evidence about every browser or organizational subscription.
Mistral's commercial terms require more care than a blanket “business means no training” label. Section 4.2 describes product defaults, opt-in or opt-out choices, feedback and additional terms. Labs and Preview models have their own training exception. Read the agreement and product controls you actually use, including whether you are trying an experimental model.
What Krater's Private registry adds
Krater's client and shared server registries include openai, anthropic, google, mistralai, cohere and x-ai. The Private badge and filter use this no-training eligibility registry for the configured routes. This is not an attempt to classify every vendor's consumer application using the same terms, and it does not make all those providers identical.
Use the all-in-one AI workspace for approved work across 500+ AI models and 1,400+ app connections, then review plans and credits. Incognito and history controls concern saved workspace chats. EU-hosted workspace data does not guarantee that every external service processes content exclusively in the EU. Krater does not claim zero retention or end-to-end encryption. For a separate vendor review, see Venice alternatives and is Venice AI private.
FAQ
Does paying for a consumer AI subscription guarantee no training?
No. Review the service and account settings. Vendor documentation distinguishes consumer, API and commercial use, and paid consumer access is not automatically a business data agreement.
Does no training mean zero retention?
No. Training, saved chat history, operational retention and safety processing are separate questions. Read the relevant retention policy instead of inferring it from a no-training statement.
Why does this comparison show unverified defaults?
Some official policy pages were blocked during the check. The table states those gaps instead of inventing defaults or transferring a different product's policy to the missing account type.