Google DeepMind · Gemma 3

Gemma 3n

READER SUMMARY

Google's open multimodal Gemma model preview optimized for efficient local operation on consumer devices.

DOOM SCORE59.0out of 100model risk profile, not the overall index

CURRENT ASSESSMENT · REVISION 1

Why this model scores 59.0

Open local multimodal operation creates very broad offline deployment and weak centralized control. Its compact scale and preview capability limit autonomy and frontier misuse relative to larger models.

Capability58

Autonomy12

Deployment96

Misuse potential53

Control difficulty68

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MODEL-ATTRIBUTED EVIDENCE

News tied to Gemma 3n

The model score of 59.0 rates this model's risk profile. The overall Doom Index of 63.5 measures the recalibrated complete evidence corpus. These values answer different questions.

NET MODEL-ATTRIBUTED INDEX CONTRIBUTION+0.02

Each article's leave-one-out Doom Index contribution is divided equally among the exact models named on that article. This prevents multi-model evidence from being claimed in full on several model pages. Model risk scores are recalculated from their technical profile and related news, but never feed back into the overall index.

20 May 2025DeploymentTOWARD

Google previews open multimodal Gemma 3n for phones and laptops

Google released a Gemma 3n preview through AI Studio and AI Edge, providing an open multimodal model engineered to run locally on phones, tablets and laptops with nested 2B and 4B footprints.

Full item contribution: +0.02
Gemma 3n equal share: +0.02

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AUDIT TRAIL

Model score history

R1
Doom Score 59.0
Initial exact profile for the Gemma 3n preview.
12 Aug 2026