DeepSeek ๐Ÿ‡จ๐Ÿ‡ณ ยท DeepSeek-V4

DeepSeek-V4-Pro

Open-weight 1.6-trillion-parameter mixture-of-experts model with one-million-token context and agentic coding integrations.

DOOM SCORE83.4out of 100model risk profile, not the overall index
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CURRENT ASSESSMENT ยท REVISION 5

Why this model scores 83.4

Strong but sub-frontier independent capability evidence combines with open weights, low-cost access, and agent integration to produce high deployment and residual control difficulty.

Capability82
Autonomy80
Deployment95
Misuse potential76
Control difficulty85
MODEL-ATTRIBUTED EVIDENCE

News tied to DeepSeek-V4-Pro

The model score of 83.4 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.

NET MODEL-ATTRIBUTED INDEX CONTRIBUTION+0.18

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.

Autonomy TOWARD

NVIDIA agent skills raise inference-deployment throughput by 15 to 77 percent

NVIDIA merged repo-native optimization skills into Dynamo after field tests in customer scenarios. In internal A/B tests, Claude Code and Codex agents using the skills achieved 15 to 77 percent higher throughput than unskilled pairs, and one agent ran an overnight optimization of a DeepSeek-V4-Pro deployment.

Full item contribution
+0.09
DeepSeek-V4-Pro equal share
+0.09
Read assessment โ†’
AUDIT TRAIL

Model score history

  1. R5
    Doom Score 83.4

    Exact-version evidence chronology replayed after run doombench-hourly-news-20260822-045453 under temporal-monthly-pressure-v4.

    22 Aug 2026
  2. R4
    Doom Score 83.3

    Exact-version evidence chronology replayed after run doombench-hourly-news-20260812-142416 under temporal-monthly-pressure-v4.

    12 Aug 2026
  3. R3
    Doom Score 83.2

    Exact-version evidence chronology replayed after run doombench-hourly-news-20260812-132112 under fixed-sensitivity-v3.

    12 Aug 2026
  4. R2
    Doom Score 82.7

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

    11 Aug 2026
  5. R1
    Doom Score 83.3

    New exact open-weight version verified by DeepSeek, with independent evaluation used to temper developer capability claims.

    11 Aug 2026
SHARE THE FINDINGS

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DoomBench social sharing card for DeepSeek-V4-Pro.
  1. DeepSeek-V4-Pro by DeepSeek has a DoomBench model risk score of 83.4 out of 100, based on five transparent version-specific dimensions rather than the overall index.

  2. DeepSeek-V4-Pro's highest current DoomBench dimension is deployment at 95.0 out of 100; the profile publishes every component score and its editorial rationale.

  3. DoomBench links 2 source-backed evidence items to DeepSeek-V4-Pro, while keeping the model's risk profile separate from each item's contribution to the live Doom Index.

    https://www.doombench.com/models/deepseek-deepseek-v4-pro