Google DeepMind · Gemma 3

Gemma 3 1B Base

READER SUMMARY

The smallest pretrained Gemma 3 checkpoint, optimized for local text deployment.

DOOM SCORE40.7out of 100model risk profile, not the overall index

CURRENT ASSESSMENT · REVISION 1

Why this model scores 40.7

Low capability and autonomy are offset by extremely broad downloadable deployment. Open weights make downstream recall and control difficult.

Capability32

Autonomy2

Deployment99

Misuse potential30

Control difficulty50

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MODEL-ATTRIBUTED EVIDENCE

News tied to Gemma 3 1B Base

The model score of 40.7 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+0.00

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.

12 Mar 2025CapabilityTOWARD

Google releases eight Gemma 3 open model checkpoints

Google released Gemma 3 base and instruction-tuned checkpoints at 1B, 4B, 12B and 27B sizes, with multimodal reasoning, long context and broad local and cloud distribution.

Full item contribution: +0.03
Gemma 3 1B Base equal share: +0.00

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AUDIT TRAIL

Model score history

R1
Doom Score 40.7
Initial exact profile for the separately released 1B base checkpoint.
12 Aug 2026