Back to Project
R

Route Anything

Project Nov 4, 2026

A research framework studying model and policy routing across language, media generation, coding agents and robot manipulation, with quality and resource trade-offs.

Visit primary link 2 sources attached
Screenshot of the Route Anything project page: left chart compares hindsight oracle scores with fixed candidates; right chart reports quality per dollar or policy-second against different references.
Author-published charts, captured from the English project page. Left: hindsight oracle potential, not trained-router performance. Right: reported relative quality/resource ratios across different testbeds and references; not a general speedup. AITrending has not reproduced the results. Source: Route Anything / Pengfei Zhou and collaborators; project-page screenshot
decision-modelsagent-ecosystem

What happened lately

Route Anything timeline

Route Anything studies how a system selects a model, generator or robot policy for an input while balancing expected quality and resource use. Its November 3, 2026 preprint distinguishes per-input hindsight oracles from trained routers and tests quality-floor certification.

The experiment repository provides router implementations and public code/text replay utilities. The omni-modal trajectory matrix described in the paper remains proprietary; the public replay bundle is not that matrix. Reported benchmark results are the authors’ claims rather than AITrending reproductions.