MultivationBench (Text-Only): leaderboard
The text-only setting of MultivationBench (HKUST, Findings of EMNLP 2026): the same motivation-reasoning questions answered from caption-enriched story text without the images. The score is exact-match accuracy of the predicted motivation set in percent over the four task types; higher is better.
Metric: Exact-match accuracy (%) of multi-label motivation predictions for visually grounded character behaviors in sequential visual narratives, reasoning over the accumulated story images and text (Maslow 8-level needs and Reiss 16 basic desires, definition and practical-motivation tasks), zero-shot at temperature 0; caption-enriched text-only input instead of images, all four task types and all story lengths; higher is better. Source: arxiv.org. Saturation forecast: Around 2028. 8 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Grok 4.1 Fast | 30.6 | #430 |
| 2 | Llama 4 Scout | 26.7 | #1776 |
| 3 | O4 Mini | 23.5 | #353 |
| 4 | Gemini 3 Flash | 13.6 | #164 |
| 5 | Llama 4 Maverick | 8.5 | #1099 |
| 6 | Nemotron Nano 12B v2 VL | 8.5 | #2231 |
| 7 | Phi-4 Multimodal Instruct | 5.9 | #3882 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=multivationbench-text-only · How It Works · Data refreshed daily, snapshot 2026-11-13.