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MISTRAL AI · MODEL RELEASE TRACKER

Shieldstral

Shieldstral is a 3B-parameter open-weights multimodal safety classifier from Mistral AI. It frames content moderation as a policy-adaptive yes/no question-answering task, accepts plain-language policies at inference time, returns calibrated safety scores, and is released under Apache 2.0.

CURRENT SNAPSHOT3/5 DIMENSIONS WITH DATA

The dimensions that change the decision.

PRICING

Not established from the available sources.

CONTEXT WINDOW

Not established from the available sources.

MODALITIES
Modalities supportedText and images (multimodal evaluation of safety).
BENCHMARKS
Performance vs larger modelsMatches models up to 7× its size on text safety and sets a new state of the art on multimodal moderation benchmarks (per the announcement).
AVAILABILITY
Hardware efficiencyDesigned to run efficiently on a single 16GB NVIDIA GPU.

VERIFIABLE FACTS

Every value stays attached to a source and date.

CAPABILITIES · Model size and typeDEVELOPER CLAIM

3-billion-parameter multimodal safety classifier that frames content moderation as a policy-adaptive question-answering task and returns calibrated safety scores.

CAPABILITIES · Policy-adaptive inferenceDEVELOPER CLAIM

Accepts plain-language policies at inference time (policy supplied as a question/context) and does not require retraining to retarget to a new deployment context.

BENCHMARKS · Performance vs larger modelsDEVELOPER CLAIM

Matches models up to 7× its size on text safety and sets a new state of the art on multimodal moderation benchmarks (per the announcement).

SAFETY · Safety interface and outputDEVELOPER CLAIM

At inference the model accepts an evaluation context and a yes/no question about safety, reads only the yes/no logits, and softmax-normalizes them into a continuous calibrated safety score (single-token verdict).

WHAT CHANGED

Stored passport versions, without reconstructed history.

Passport created7 facts