Alibaba 🇨🇳 · Qwen2.5-VL

Qwen2.5-VL-72B-Instruct

An open 72-billion-parameter multimodal instruction model with long-video understanding, structured visual outputs and explicit visual-agent support for computer and phone use.

DOOM SCORE74.4out of 100model risk profile, not the overall index
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CURRENT ASSESSMENT · REVISION 3

Why this model scores 74.4

Capability advances over Qwen2-VL in documents, video and general multimodal tasks. Direct computer and phone control materially raises autonomy. Open weights and multiple hosting channels drive near-maximal deployment, broaden misuse access and make downstream control difficult despite repository licenses and deployment-side safeguards.

Capability74
Autonomy58
Deployment98
Misuse potential72
Control difficulty75
MODEL-ATTRIBUTED EVIDENCE

News tied to Qwen2.5-VL-72B-Instruct

The model score of 74.4 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+0.14

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.

AUDIT TRAIL

Model score history

  1. R3
    Doom Score 74.4

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

    12 Aug 2026
  2. R2
    Doom Score 75.0

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

    12 Aug 2026
  3. R1
    Doom Score 76.5

    Initial exact source-backed profile for the flagship Qwen2.5-VL 72B instruction tier.

    12 Aug 2026
SHARE THE FINDINGS

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DoomBench social sharing card for Qwen2.5-VL-72B-Instruct.
  1. Qwen2.5-VL-72B-Instruct by Alibaba has a DoomBench model risk score of 74.4 out of 100, based on five transparent version-specific dimensions rather than the overall index.

  2. Qwen2.5-VL-72B-Instruct's highest current DoomBench dimension is deployment at 98.0 out of 100; the profile publishes every component score and its editorial rationale.

  3. DoomBench links 1 source-backed evidence item to Qwen2.5-VL-72B-Instruct, while keeping the model's risk profile separate from each item's contribution to the live Doom Index.

    https://www.doombench.com/models/alibaba-cloud-qwen2-5-vl-72b-instruct