Omni-Decision turns the planning bottleneck of omni-modal agents into an attributable object, reaching 81.4% on OmniGAIA at about 43% of Gemini-3.1-Pro's cost
The work presents Omni-Decision, which replaces the growing dialogue history with a task-scoped evidence ledger: a critic digests each noisy multimodal observation into typed evidence events committed by a deterministic reducer, so the planner always decides over a compact, verified state; controlled backend replacements show that replacing the planner costs far more than replacing the perception backend, and the system reaches 81.4% accuracy on OmniGAIA at roughly 43% of Gemini-3.1-Pro's per-question cost and 65.0% on WorldSense long-video understanding, with execution trajectories used to fine-tune and reinforce weaker planners.