OVIBench (Multiple Choice) - Correction: leaderboard

Answer-selection accuracy on correction interruptions, where the model should revise its answer in the OVIBench (2026) multiple-choice subset. Percent, higher is better.

Metric: Answer-selection accuracy (%; choosing, among four candidate continuations, the one that handles the interruption correctly; multiple-choice subset of 4,710 samples; offline simulation of an interruption arriving while the model is generating its answer about a streaming video (3,200 videos from ActivityNet, MovieChat, QVHighlights, UCF-Crime and YouCook2); correction interruptions, where the model should revise its answer under the new constraint). Source: arxiv.org. Saturation forecast: Estimated already saturated. 6 models tracked.

Top models

#ModelScoreOverall rank
1Seed-1.696.4#447
2Qwen 2.5 VL 7B86.99#1796
3Gemini 2.5 Flash69.58#452

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

Interactive version: theaggregate.ai/benchmark?slug=ovibench-multiple-choice-correction · How It Works · Data refreshed daily, snapshot 2026-11-12.