MVX-Bench - Counterfactual Reasoning: leaderboard

Metric: Accuracy (%) on the 150 Counterfactual Reasoning questions (pick the video whose counterfactual answer matches the reference's), MVX-Bench's multi-video multiple-choice questions (each pairs a question with several videos; 1,442 questions over 4,255 videos repurposed from 11 annotated video datasets), end-to-end inference at temperature 0; higher is better. Source: arxiv.org. Saturation forecast: Not forecast. 21 models tracked.

Top models

#ModelScoreOverall rank
1Pixtral-12B30.7#795
2Phi-4 Multimodal Instruct27.3#896
3Gemma 3 4B (IT)26.7#971
4GPT-5.224#105
5GPT-4o23.3#333
6Gemma 3 12B (IT)23.3#655
7Qwen 2.5 VL 7B Instruct22#643
8Qwen 3.6 27B (Non-reasoning)20#163 (Qwen 3.6 27B)
9Qwen 2.5 VL 32B Instruct19.3#443
10Gemma 3 27B (IT)16.7#509
11Qwen 3.6 27B (Thinking)16#163 (Qwen 3.6 27B)

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=mvx-bench-counterfactual-reasoning · How It Works · Data refreshed daily, snapshot 2026-10-11.