spatial reasoning benchmark
RefCOCO-avg measures object grounding accuracy averaged across RefCOCO, RefCOCO+, and RefCOCOg benchmarks.
Updated Aug 11, 2026
Higher score ranks better on this benchmark.
| 01 | AC | 0.935 points | 100.0% | 7 | C | |
| 02 | AC | 0.925 points | 83.3% | 7 | C | |
| 03 | AC | 0.924 points | 66.7% | 7 | C | |
| 04 | AC | 0.92 points | 50.0% | 7 | C | |
| 05 | AC | 0.913 points | 33.3% | 7 | C | |
| 06 | AC | 0.909 points | 16.7% | 7 | C | |
| 07 | AC | 0.892 points | 0.0% | 7 | C |
A closer view of the leading scores on this benchmark.
The leading models and scores on this benchmark.
What RefCOCO-avg measures and how its scores work.
RefCOCO-avg measures object grounding accuracy averaged across RefCOCO, RefCOCO+, and RefCOCOg benchmarks.
Scores are shown in points. This benchmark is not independently verified and has an evidence level of B.
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about RefCOCO-avg.
Qwen3.6 Plus is currently ranked first with 0.935 points.
RefCOCO-avg measures object grounding accuracy averaged across RefCOCO, RefCOCO+, and RefCOCOg benchmarks.
Yes. Higher values rank better for this benchmark.
7 model results are currently shown.
Yes. This benchmark can contribute to the current LLMBoard capability score.