WeVisCut: The Whole Editing Room in One Agent, from Narration to Long-Form Video

Common-harness results on 100 held-out tasks across five runs; Overall is the descriptive mean of the five task metrics.

Task-matched native systems use the same script, source pool, duration and aspect ratio. Cost includes unsuccessful attempts.

Blinded human evaluation on 100 held-out cases · 3 qualified raters · descriptive mean ratings.

Scaling alone does not specialize. The Qwen3.6-35B-A3B baseline reaches 77.7 Overall, Gemini 3.1 Pro 84.6, and WeVisCut 90.5. Task-specific post-training closes the gap beyond model scale alone.

On par with Claude Opus 5 — at 33.1× fewer tokens. Better on SCF (+1.3), TPR (+0.9), LHC (+0.2), ERY (+0.9), −0.2 on VNSM; every metric within 1.3 points, with 97.0% fewer generated tokens and 73.3% fewer calls per output minute.

Native-stack advantage holds end-to-end. +6.8 SCF over Crayotter and +10.0 over VideoAgent, while running 4.1× / 5.0× faster at 10.8× / 6.4× lower cost — and humans prefer it on every dimension (4.56 vs 3.48 overall).

Three training phases specialize the 9B policy. Unified SFT and runtime-verified RFT initialize tool use and recovery; Guided-OPD trains recovery decisions; RCF-DAPO optimizes decision quality. Overall rises from 74.5 for the base model to 90.5.

A finished film is sampled uniformly per shot; the harness confirms keyframes as visual evidence and runs its analysis toolchain — layout, saliency, legibility, motion-overlap — before the held-out Claude Opus 5 judge scores two rubric dimensions: visual_impact and clarity , each with detailed reasoning and cited frames.

构图遵循三分法，主体稳定处于视觉重心；暖棕复古色调全片统一，特写与中景交替避免视觉疲劳，转场节奏贴合旁白呼吸感。扣分项：S11 叠化时长略拖。

字幕与背景对比度 7.2:1，全片无文字溢出与遮挡；关键信息均与图示动画同步出现，动效未干扰正文阅读；S07 信息密度偏高，但仍在可读阈值之内。

Four held-out scripts, each produced by both systems from the same script, source pool, duration and aspect ratio. Pick a domain — both sides switch together. Play each cut on its own.