PointQ-Bench - Quality Reasoning: leaderboard
Metric: SSFRQ-5D score (0-10): sum of five 0-2 judge ratings (structural sufficiency, specificity, faithfulness, reasoning coherence, quality accuracy) of the open-ended quality report against an expert reference, zero-shot over 3,083 point clouds (authentic scans, simulated distortions, AI-generated assets), temperature 0; 2D models see six rendered views, native 3D models 8,192 sampled points; free-form answers mapped to the label space by an LLM parser; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 14 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 (Low) | 8.41 |
| 2 | GPT-5 Mini (Low) | 8.21 |
| 3 | Qwen 3.5 9B (Non-reasoning) | 7.89 |
| 4 | Gemma 3 12B | 7.77 |
| 5 | Qwen 3.5 27B (Non-reasoning) | 7.77 |
| 6 | Claude Haiku 4.5 | 7.76 |
| 7 | Mistral Small 3.2 | 7.73 |
Interactive version: theaggregate.ai/benchmark?slug=pointq-bench-quality-reasoning · How It Works · Data refreshed daily, snapshot 2026-10-07.