VI-Bench (Video Prompt Inversion): leaderboard

VI-Bench (2026) tests video prompt inversion: a vision-language model watches an AI-generated video and writes a prompt that should regenerate it with the original video generator. The Inversion Score averages a GPT-4o judgment of the recovered prompt against the original prompt with an agent judgment of the regenerated video against the reference, each on a 0 to 1 scale, over 900 videos; higher is better.

Metric: Inversion Score (0-1; mean of the Prompt Score, GPT-4o (gpt-4o-2024-11-20) judging the recovered prompt against the original one on subject, action, scene, style and camera, and the Video Score, a Qwen3-VL-8B memory agent and Qwen3.5-9B judge agent comparing the video regenerated from the recovered prompt by the original generator (Wan2.2 or HunyuanVideo 1.5, fixed seed) with the reference, each a 1-5 rating normalized to 0-1; all 900 human-verified AIGC videos). Source: arxiv.org. Saturation forecast: Around February 2027. 16 models tracked.

Top models

#ModelScoreOverall rank
1Seed 2.0 Pro0.63#209
2GPT-4o (2024-11-20)0.58#864
3Qwen 2.5 VL 7B0.52#1796
4Qwen 3.5 9B0.52#803
5InternVL3-8B0.39#1695

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=vi-bench-video-prompt-inversion · How It Works · Data refreshed daily, snapshot 2026-11-12.