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Mistral AI model product

Shieldstral 1.0

Shieldstral is a 3B open-weight multimodal safety classifier from Mistral.

Updated Aug 17, 2026. Default version: Shieldstral 1.0 (3B)

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LLMBoard Score0.0Shieldstral 1.0 (3B)
Coverage20%1 benchmark families
Context windowN/ATokens
Official input priceN/AOfficial price unavailable

On this page

  • Capability
  • Benchmarks
  • Arena
  • Pricing
  • Runtime
  • Specification
  • Versions
  • Compare
  • Similar models
  • About
  • FAQ

Shieldstral 1.0 Capability Profile

This profile uses the model's current scored version. Arena ratings and prices are shown separately.

Shieldstral 1.0 (3B) LLMBoard score breakdown

Shieldstral 1.0 Benchmark Results

Benchmark scores for Shieldstral 1.0 (3B).

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Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkXSTestScore94.6%Rank03Participants4Percentile33.3%EvidenceCEvaluatedAug 17, 2026

Shieldstral 1.0 Arena Results

Preference and agent-evaluation results for the default version.

No Arena results

The default version does not have a matching Arena result yet.

Shieldstral 1.0 Pricing

Official vendor API pricing appears first, followed by individual provider offers.

Official API
N/A
Official provider
N/A
Lowest third-party
N/A
Tracked offerings
0
No provider prices

The default version has no current input or output token prices.

Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.

Shieldstral 1.0 Runtime Performance

Provider-specific output speed and catalog latency for Shieldstral 1.0 (3B). Runtime does not affect the capability score.

No runtime data

No provider-specific speed or latency record is linked to the default version yet.

Browse runtime rankings

Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.

Shieldstral 1.0 Specifications

Technical details for the model's default version.

Version
Shieldstral 1.0 (3B)
Released
Aug 4, 2026
Knowledge cutoff
Unknown
Parameters
3B
Context window
N/A
Max output
N/A
Inputs
image, text
Outputs
text
Open weights
No
License
Apache 2.0

Shieldstral 1.0 Versions

Available versions of this model. The score column identifies the version used in the overall ranking.

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Version
Released
LLMBoard
Parameters
Context
Max output
Open weights
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VersionShieldstral 1.0 (3B)ReleasedAug 4, 2026LLMBoard0.0Parameters3BContextN/AMax outputN/AOpen weightsNoLicenseApache 2.0

Shieldstral 1.0 vs nearby models

Open a comparison with the three ranked models immediately above and below this model.

Shieldstral 1.0vsPhi 3.5 visionShieldstral 1.0vsIBM Granite 4.0 TinyShieldstral 1.0vsLlama 3.2 11BShieldstral 1.0vsJamba 1.5 MiniShieldstral 1.0vsGPT-3.5-TurboShieldstral 1.0vsPhi 3.5 mini

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What is Shieldstral 1.0?

Key information about Shieldstral 1.0 and its available data.

Shieldstral is a 3B open-weight multimodal safety classifier from Mistral. It frames content moderation as policy-adaptive yes/no question answering: plain-language policies are supplied at inference time, and the model returns a calibrated safety score from a single forward pass for text, image, or text+image content.

0. 25857); per-bench WildGuard/HarmBench/ToxicChat/BeaverTails/Aegis/VLGuard ids are not in the catalog.

Data as of 2026-08-17.

FAQ

Common questions about Shieldstral 1.0.

When was Shieldstral 1.0 released?

Shieldstral 1.0's default version was released on Aug 4, 2026.

How much does Shieldstral 1.0 cost?

No official standard PAYG price is currently available for Shieldstral 1.0.

Who created Shieldstral 1.0?

Shieldstral 1.0 was created by Mistral AI.

What is the context window for Shieldstral 1.0?

A context window is not available for the default version.

Is Shieldstral 1.0 open weight?

No. The default version is not marked as having publicly available weights.

How many API providers offer Shieldstral 1.0?

No provider offering is currently linked to the default version.

What models should I compare Shieldstral 1.0 with?

Nearby ranked alternatives include Phi 3.5 vision, IBM Granite 4.0 Tiny, Llama 3.2 11B.