Mistral Moderation
Mistral Moderation (November 2024) is a purpose-built content safety classifier from Mistral AI. Rather than generating creative or analytical text, it takes content as input and returns structured safety signals — identifying categories such as hate speech, sexual content, violence, and self-harm.
The model is designed to integrate into pipelines as a guard layer: screening user-submitted text before it reaches a generative model, or reviewing model outputs before they are served. It aligns with Mistral's commitment to responsible AI deployment and can be used stand-alone or in combination with other Mistral models for end-to-end safe application stacks.
Key Features
Multi-category content classification (hate, violence, sexual, self-harm, etc.)
Returns structured safety labels suitable for automated filtering logic
Designed as a pipeline guard for both input screening and output review
Low-latency inference appropriate for real-time moderation
Complements Mistral's generative models in safety-first deployments
API-accessible with the same client interface as other Mistral models
Ideal Use Cases
Pre-screening user messages in chat applications before forwarding to a generative model
Post-generation review to prevent unsafe outputs from reaching end users
Content moderation queues for UGC platforms
Compliance checks in regulated industries (healthcare, education)
Automated flagging in trust-and-safety workflows
Example Prompts for Mistral Moderation
Technical Specifications
| Provider | Mistral |
| Category | Text |
| Modality | Text -> Text |
Frequently Asked Questions
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