spatial reasoning benchmark
SUNRGBD evaluates RGB-D scene understanding and 3D grounding capabilities.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score0.36 points | Percentile100.00% | Participants4 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score0.35 points | Percentile66.67% | Participants4 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score0.35 points | Percentile33.33% | Participants4 | EvidenceC | Evaluated |
| Rank04 | ModelAC | Score0.33 points | Percentile0.00% | Participants4 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What SUNRGBD measures and how its scores work.
SUNRGBD is a benchmark for RGB-D scene understanding and 3D grounding.
It measures RGB-D scene understanding and 3D grounding capabilities using Score in points.
Scores are shown in points. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about SUNRGBD.
Qwen3.5-122B-A10B is currently ranked first with 0.36 points.
The current leaders are Qwen3.5-122B-A10B (0.36 points), Qwen3.5-27B (0.35 points), and Qwen3 VL 235B A22B Thinking (0.35 points).
Qwen3.5-35B-A3B has the lowest matched official input price at $0.25 input / $2.0 output per 1M tokens.
No matched runtime record is currently available.
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures RGB-D scene understanding and 3D grounding capabilities using Score in points.
Yes. Higher values rank better for this benchmark.
4 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis sunrgbd AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Qwen3.5-122B-A10B currently leads SUNRGBD with 0.36 points. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.