FitAQA - Judgement: leaderboard

FitAQA (Tsinghua University, 2026) evaluates multimodal LLMs on fitness action-quality assessment over 30 bodyweight exercises and a 38-error taxonomy. Judgement F1 scores the error-positive class when the model judges whether an exercise aspect is executed correctly, in percent, higher is better.

Metric: Form-error F1 (%; error-positive class, judging whether an exercise aspect is executed correctly; over FitAQA's fitness action-quality videos (30 bodyweight exercises, 38-error taxonomy); judgement task). Source: arxiv.org. Saturation forecast: Around February 2027. 15 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)72.1#91
2GPT-5.557.8#48
3GPT-5.450.5#121
4Qwen 3.5 27B (Non-reasoning)47.1#358 (Qwen 3.5 27B)
5Qwen 3.5 9B (Non-reasoning)45.7#803 (Qwen 3.5 9B)
6Qwen 3.5 27B (Thinking)42.6#358 (Qwen 3.5 27B)
7Qwen 3.5 9B (Thinking)39.9#803 (Qwen 3.5 9B)
8Qwen 3.5 35B A3B (Thinking)39#480 (Qwen 3.5 35B A3B)
9Qwen 3.5 35B A3B (Non-reasoning)33.4#480 (Qwen 3.5 35B A3B)
10Gemma 4 31B27.8#393

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=fitaqa-judgement · How It Works · Data refreshed daily, snapshot 2026-11-12.