Modality Arbitration - CLASH - CoT Image-Target Accuracy: leaderboard

Modality Arbitration v1 Table3, CLASH, Image-P image-groundtruth accuracy. MethodCoT; 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

#ModelScoreOverall rank
1Qwen 2.5 VL 7B Instruct66.41#1842
2Qwen 3 VL 8B Instruct63.3#982
3InternVL3-8B57.64#1695

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-cot-image-target-accuracy · How It Works · Data refreshed daily, snapshot 2026-11-12.