AgentViSS - Role Enactment: leaderboard
AgentViSS (2026) evaluates visual social intelligence: multimodal agents play roles in 240 multi-party scenarios and must read expressions, posture and emotion from images while pursuing role goals, with each task labeled achieved, partial or not achieved by three judge models. This board is the 0 to 100 score for keeping the expression style and conflict characteristic of the role, averaged over two observation modes; higher is better.
Metric: Mean of the expression-style and conflict-characteristic task scores under both observation modes; normalized task score (0-100), each role-task instance labeled Achieved 2, Partially Achieved 0.5 or Not Achieved 0 by majority vote of three judges (Gemini 3.1 Pro Preview, GPT-5.4, Qwen3.5-27B), over 2,340 role-task instances in 240 multi-party social scenarios with group images and role portraits; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 7 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Claude Sonnet 4.6 | 97.78 | #161 |
| 2 | GLM-4.6V | 97.63 | #701 |
| 3 | Qwen 3.5 27B | 96.81 | #359 |
| 4 | Qwen 3.5 122B A10B | 96.56 | #331 |
| 5 | Qwen 3.5 9B | 92.55 | #803 |
| 6 | GPT-5.4 | 86.37 | #123 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=agentviss-role-enactment · How It Works · Data refreshed daily, snapshot 2026-11-13.