Reviso Captioning - CaReBench Object 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: Around 2035. 16 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6 Astra34.5#6
2Gemini 3.8 Flash34.3#30
3Molmo2-8B33.7
4Qwen 3 VL 32B (Thinking)33.6#291
5Qwen 3 VL 32B Instruct33.4#290
6Qwen 3 VL 8B Instruct33#419
7Qwen 3.8 27B32#123
8Qwen 3.5 9B27.2#391
9Qwen 3.6 27B27.2#182
10Qwen 3.6 35B A3B19.7#238

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-carebench-object-f1 · How It Works · Data refreshed daily, snapshot 2026-11-05.