spatial reasoning benchmark
RefCOCO-avg Leaderboard
RefCOCO-avg measures object grounding accuracy averaged across RefCOCO, RefCOCO+, and RefCOCOg.
Updated Sep 5, 2026
Models9
Model coverage9
MetricScore
EvidenceB
RefCOCO-avg Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score0.94 points | Percentile100.00% | Participants9 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score0.93 points | Percentile87.50% | Participants9 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score0.92 points | Percentile75.00% | Participants9 | EvidenceC | Evaluated |
| Rank04 | ModelAC | Score0.92 points | Percentile62.50% | Participants9 | EvidenceC | Evaluated |
| Rank05 | ModelAC | Score0.91 points | Percentile50.00% | Participants9 | EvidenceC | Evaluated |
| Rank06 | ModelAC | Score0.91 points | Percentile37.50% | Participants9 | EvidenceC | Evaluated |
| Rank07 | ModelAC | Score0.89 points | Percentile25.00% | Participants9 | EvidenceC | Evaluated |
| Rank08 | ModelLA | Score0.88 points | Percentile12.50% | Participants9 | EvidenceC | Evaluated |
| Rank09 | ModelCO | Score0.73 points | Percentile0.00% | Participants9 | EvidenceC | Evaluated |
RefCOCO-avg Highlights
The leading models and scores on this benchmark.
RefCOCO-avg Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for RefCOCO-avg
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is RefCOCO-avg?
What RefCOCO-avg measures and how its scores work.
RefCOCO-avg is a benchmark for object grounding accuracy across RefCOCO, RefCOCO+, and RefCOCOg.
It measures object grounding accuracy, reported as a Score in points.
Scores are shown in points. This benchmark is not independently verified and has an evidence level of B.
- Family
- RefCOCO-avg
- Modality
- image
- Primary category
- spatial reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about RefCOCO-avg.
Which model scores highest on RefCOCO-avg?
Qwen3.6 Plus is currently ranked first with 0.94 points.
What are the top three models on RefCOCO-avg?
The current leaders are Qwen3.6 Plus (0.94 points), Qwen3.6-27B (0.93 points), and Qwen3 VL 235B A22B Thinking (0.92 points).
Which RefCOCO-avg model has the lowest official input price?
Qwen3.6-35B-A3B has the lowest matched official input price at $0.25 input / $1.5 output per 1M tokens.
Which models are fastest among RefCOCO-avg results?
No matched runtime record is currently available.
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.