
Shieldstral 1.0
3B open-weight guard model that takes its moderation policy at inference time.
About
Shieldstral 1.0 is Mistral AI's 3B open-weight multimodal safety classifier, released August 4, 2026 under Apache 2.0. Built on Ministral-3-3B-Base-2512 with a Pixtral vision encoder, it moderates text, images and text-image combinations.
Its signature design is policy adaptivity: instead of fixed moderation categories baked into weights, the developer passes a plain-language policy as input and the model returns a continuous safety score from a single forward pass. Retargeting to a new policy needs no retraining.
Mistral reports it matches or beats open guard models up to 7x its size on text safety and multimodal benchmarks, and it runs on a single 16GB GPU. Weights are on Hugging Face at mistralai/Shieldstral-1.0-3B.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 116; Trending score 80/100 from researcher assessment.