Reviso Captioning - MCTS-VCB F1: leaderboard

Reviso Table 1: common maximum 128 input frames, uniform sampling for direct model baselines and adaptive revisits for trained Reviso. Original native metric units retained. Proprietary rows are the authors’ reference runs and remain evidence, despite their highlighting convention; no site exclusion is inferred. Reviso is a trained Qwen 3.5-9B derivative with tools and remains distinct. Reasoning effort otherwise not reported. Metric: F 1 (%).

Metric: F1 (%). Source: arxiv.org. Saturation forecast: Not forecast. 16 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 VL 32B Instruct51.1#290
2Qwen 3.6 27B49.9#182
3Qwen 3 VL 8B Instruct49.5#419
4Qwen 3 VL 32B (Thinking)49.5#291
5Gemini 3.8 Flash49.2#30
6Qwen 3.6 35B A3B48.9#238
7Qwen 3.8 27B47.6#123
8Molmo2-8B46.6
9Qwen 3.5 9B45.5#391
10GPT-6 Astra41.6#6

No result here: #3 Claude Opus 5.5, #7 GPT-6.1 Sol, #9 Gemini 4 Argon.

Interactive version: theaggregate.ai/benchmark?slug=reviso-captioning-mcts-vcb-f1 · How It Works · Data refreshed daily, snapshot 2026-11-05.