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Ant Ling releases Ling-3.2-flash, a 560B multimodal agent model

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Ant Ling@AntLingAGI

Introducing Ling-3.2-flash, Ant Ling's native multimodal model: 560B total / 25B active parameters. Stronger complex visual understanding, long-horizon multimodal agents, 3D understanding & interaction, and medical intelligence. Outscores Opus 5 (max) in release evaluations: - OmniDocBench1.5: 92.21 vs 90.56 - ZEROBench(Sub): 43.71 vs 39.52 - Vision2Web: 85.86 vs 80.20

Why it matters

Ling-3.2-flash is a 560B (25B active) model aimed at long-horizon visual agents and frontend work. Its claims versus Opus 5 are self-reported, so verify them before relying on it.

Terms in this piece · Glossary
  • multimodal — A model that works with more than text — reading images, audio, or video, and sometimes generating them too.
  • benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
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