CoRAL Study - DetailCaps CAPTURE: leaderboard
CoRAL (2026): main common evaluation of multimodal model outputs; LLaDA-V planner and Qwen2.5-VL executor are jointly trained as a distinct hybrid system. Caption quality uses GPT-4o/scene-graph judging; throughput is not a capability score. Published Score.
Metric: Published Score. Source: arxiv.org. Saturation forecast: Estimated already saturated. 11 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Qwen 2.5 VL 7B | 60.61 | #645 |
| 2 | InternVL3-8B | 57.8 | #622 |
| 3 | MiniCPM-V-2.6 | 50.25 | #846 |
No result here: #4 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=coral-study-detailcaps-capture · How It Works · Data refreshed daily, snapshot 2026-10-22.