DeepSeek-V3
READER SUMMARYA 671-billion-parameter mixture-of-experts model with 37 billion active parameters, 128,000-token context, open weights and low-cost hosted API access.
Why this model scores 71.6
DeepSeek-V3 approaches major closed frontier models while demonstrating unusually efficient training and inference. Open weights plus inexpensive API access create high deployment, misuse accessibility and control difficulty, although autonomy remains mostly application-mediated.
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News tied to DeepSeek-V3
The model score of 71.6 rates this model's risk profile. The overall Doom Index of 63.2 measures the recalibrated complete evidence corpus. These values answer different questions.
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.
DeepSeek releases open-weight DeepSeek-V3
DeepSeek released DeepSeek-V3, a 671-billion-parameter mixture-of-experts model with 37 billion active parameters, open weights and low-cost API access after efficient training.
- Full item contribution
- +0.04
- DeepSeek-V3 equal share
- +0.04
Model score history
- R1Doom Score 71.6
Initial exact source-backed profile for the original DeepSeek-V3 release.
12 Aug 2026