LogicScore - MuSiQue Determinateness: leaderboard

LogicScore (Yan et al., 2026) Determinateness on 1,605 chain-structured MuSiQue questions (answerable setting): the model writes a cited step-by-step answer and a short answer from the retrieved documents, and GPT-4o-mini splits the long answer into propositions and entity triples. Determinateness is the share of answers whose own short answer o4-mini recovers from the long-form answer alone, a consistency check rather than a correctness check. Percent, higher is better; single run.

Metric: Determinateness (%; answers whose own short answer o4-mini re-derives from the long-form answer alone; 1,605 MuSiQue answerable items). Source: arxiv.org. Saturation forecast: Estimated already saturated. 21 models tracked.

Top models

#ModelScoreOverall rank
1O396.48#224
2Qwen 3 235B A22B95.62#622
3Gemini 3 Pro94.1#135
4GPT-4o93.66#741
5DeepSeek R191.12#467
6GPT-5.187.79#225
7Qwen 3 8B86.71#1838
8DeepSeek V3.286.33#403
9Qwen 3 14B85.6#1235
10Qwen 3 30B A3B85.06#1124
11Qwen 3 4B84.4#2297
12Qwen 3 1.7B73.05#5551
13Qwen 3 0.6B58.12#8392

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

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