Modality Arbitration - CLASH - Base Image-Target Accuracy: leaderboard
Modality Arbitration v1 Table3, CLASH, Image-P image-groundtruth accuracy. MethodBase; BF16,batch1,seed42,greedy,128tokens Base/512CoT. CorrelationQA uses added visual-reference annotation. Cross-target errors, steering methods and blur interventions are not substituted.
Metric: Score (%). Source: arxiv.org. Saturation forecast: Estimated already saturated. 4 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Qwen 3 VL 8B Instruct | 66.72 | #982 |
| 2 | InternVL3-8B | 62.14 | #1695 |
| 3 | Qwen 2.5 VL 7B Instruct | 51.2 | #1842 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=modality-arbitration-clash-base-image-target-accuracy · How It Works · Data refreshed daily, snapshot 2026-11-12.