DeepSeek-V4.1-Flash
DeepSeek-V4.1-Flash is an MIT-licensed 552-billion-parameter mixture-of-experts model with native vision and 8 billion active input parameters. DeepSeek reports lower cache requirements, strong agent and coding benchmarks, API availability, and downloadable weights.
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Why this model scores 82.6
Provider benchmarks support high general, coding, vision, and agent capability. Open weights and live API access make deployment broad and increase misuse availability. Control difficulty is elevated by the model's scale and unrestricted local adaptation, but no release evidence establishes autonomous control failure.
Videos about DeepSeek-V4.1-Flash
Reviewed videos from Artificial Intelligence Videos. These links add context and never change a DoomBench score.
News tied to DeepSeek-V4.1-Flash
The model score of 82.6 rates this model's risk profile. The overall Doom Index of 67.9 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.
DeepSeek releases open-weight V4.1 Flash with lower inference costs
DeepSeek released DeepSeek-V4.1-Flash, a 552-billion-parameter mixture-of-experts model with 8 billion active parameters for input and 16 billion for output. The release adds native vision, a new causal encoder-decoder design, lower cache requirements, API access, and MIT-licensed weights.
- Full item contribution
- +0.12
- DeepSeek-V4.1-Flash equal share
- +0.12
Model score history
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R1
Doom Score 82.6
Creates the source-verified DeepSeek-V4.1-Flash record with exact architecture, access, licensing, and provider benchmark details.
11 Sept 2026