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293 verified findings across the displayed surfaces.
198 verified findings across the displayed surfaces.
Empty Comparison Slot
Cohere API carries highly permissive license terms; xAI API carries highly permissive license terms.FOR ENTERPRISE: COHERE API NOT RECOMMENDED · XAI API NOT RECOMMENDED
| RISK SURFACE | COHERE API | XAI API |
|---|---|---|
| PPrompt Ownership | ||
| OOutput Ownership | ||
| TModel Training | ||
| CCommercial Use | ||
| DData Privacy | ||
| $Tier Differences |
“You agree that any suggestion or idea provided by you (such suggestions or ideas, “ Feedback ”) will not be treated as confidential, and nothing in these Terms of Use will restrict our right to use, profit from, disclose, publish or otherwise exploit any Feedback, without compens…”
Feedback submitted by users — which could be interpreted broadly to include prompts or suggestions provided to the platform — is subject to a perpetual, irrevocable, royalty-free worldwide license with no compensation to the user.
“You grant, an irrevocable, perpetual, transferable, sublicensable, royalty-free, and worldwide right to xAI to use, copy, store, modify, distribute, reproduce, publish, display in public forums, list information regarding, make derivative works of, and aggregate your User Content…”
The license granted to xAI over user inputs is irrevocable, perpetual, transferable, sublicensable, and royalty-free, covering virtually any purpose. This is an extremely broad grant that survives account termination and cannot be revoked by the user.
“ publish, market, advertise or in any way distribute the Content;”
“**Similarity of content.** Due to the nature of artificial intelligence, outputs may not be unique, and different users may receive similar output from our Service. Your rights to the Output do not extend to other's rights.”
“For Trial Users and Researchers (i.e. users interacting with Cohere Products on research-specific platforms like Hugging Face, Cohere Labs grantee users, or users demoing Cohere Products under a free trial account), we collect content you submit to the Cohere Products, and output…”
Trial Users and Researchers have their inputs and outputs used for model training and R&D by default, with no explicit opt-out described in this section.
“Electing whether your User Content is used for product development or model training.** When logged into our Service, you can select whether or not you want us to use your User Content to improve our products and services and train our models. Private Chat and User Content that y…”
Logged-in users have an opt-out choice for training use, but unauthenticated users are granted no opt-out and automatically grant 'full rights' to their data for model training. The opt-out for logged-in users also does not fully override the irrevocable license granted elsewhere in the Terms.
“ attempt to gain unauthorized access to the Cohere Solution, or bypass any measures we may use to prevent or restrict access to the Cohere Solution, attempt to circumvent the intended features, functionality or limitations of the Cohere Solution, or otherwise use, copy, distribut…”
“Using the Service or any Output to develop models or services that compete with xAI, scraping or reselling any Input or Output, or distilling model data”
Users are prohibited from using outputs to develop competing models or services, or from reselling outputs. This restricts legitimate commercial applications of generated content.
“Safeguards, Retention and Privacy Governance”
The document references a 'Safeguards, Retention and Privacy Governance' section but does not provide its content in the supplied text. Retention periods and deletion rights cannot be assessed from this excerpt.
“By choosing to login to our Service by using a third-party service, such as Google, Apple, or X, you give us permission to access, use, and store your information from that service, as permitted by that service, which may include log-in credentials and/or access tokens for that s…”
Third-party login grants xAI permission to access and store credentials and tokens. The optional X integration allows ingestion of extensive personal data including post history, location, and account preferences, creating a significant data aggregation risk.
“Section 2.3 (Research and Model Improvement): Analyzing usage patterns and using Trial or Research User Inputs/Outputs to improve the performance and safety of our AI models.”
Model training use of inputs/outputs is explicitly scoped to 'Trial or Research Users', implying paid or enterprise users may not have their data used for training. However, this distinction is not clearly defined elsewhere in the extracted text, creating ambiguity about which tier a given user falls into.
“- At our sole discretion, we may implement rate limitations to accommodate system resources or usage needs.”