Chinchilla 70B
A 70-billion-parameter compute-optimal language model trained on 1.4 trillion tokens.
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Why this model scores 27.6
Strong language capability and influential scaling results raised frontier efficiency, while research-only access, little inherent agency, and minimal direct deployment kept the remaining dimensions moderate or low.
News tied to Chinchilla 70B
The model score of 27.6 rates this model's risk profile. The overall Doom Index of 66.8 measures the complete temporally weighted evidence record. These values answer different questions.
Each article's current 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 use a bounded temporal offset around their technical profile, but never feed back into the overall index.
DeepMind shows 70B Chinchilla outperforms much larger language models
DeepMind's compute-optimal scaling study trained Chinchilla on far more data and showed the 70-billion-parameter model outperforming substantially larger systems at the same compute budget.
- Full item contribution
- +0.04
- Chinchilla 70B equal share
- +0.04
Model score history
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R4
Doom Score 27.6
Source-backed model availability audit using the model's existing primary or authoritative catalogue evidence. Exact-version evidence chronology replayed under temporal-monthly-pressure-v4.
12 Aug 2026 -
R3
Doom Score 27.6
Exact-version evidence chronology replayed after run doombench-hourly-news-20260812-142416 under temporal-monthly-pressure-v4.
12 Aug 2026 -
R2
Doom Score 30.3
Exact-version evidence chronology replayed after run doombench-hourly-news-20260812-132112 under fixed-sensitivity-v3.
12 Aug 2026 -
R1
Doom Score 34.1
New exact public research model with original timestamp and five evidence-based dimension inputs.
12 Aug 2026