Google DeepMind · Gemma 4

Gemma 4 26B MoE

READER SUMMARY

Workstation-scale Apache-licensed Gemma 4 mixture-of-experts model for local reasoning, coding, and agents.

DOOM SCORE74.1out of 100model risk profile, not the overall index
CURRENT ASSESSMENT · REVISION 2

Why this model scores 74.1

Capable workstation-scale agent support, permissive weights, and broad tooling increase diffusion and adaptation, with hardware needs limiting deployment slightly.

Capability81
Autonomy73
Deployment94
Misuse potential62
Control difficulty58
MODEL-ATTRIBUTED EVIDENCE

News tied to Gemma 4 26B MoE

The model score of 74.1 rates this model's risk profile. The overall Doom Index of 62.1 measures the recalibrated complete evidence corpus. These values answer different questions.

NET MODEL-ATTRIBUTED INDEX CONTRIBUTION+0.03

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.

AUDIT TRAIL

Model score history

  1. R2
    Doom Score 74.1

    Full-corpus evidence recalculated after run intensive-backfill-20260811-191225 under bounded-corpus-v2.

    11 Aug 2026
  2. R1
    Doom Score 73.9

    New exact tier verified from dated primary launch.

    11 Aug 2026