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spatial reasoning benchmark

RefCOCO-avg

RefCOCO-avg measures object grounding accuracy averaged across RefCOCO, RefCOCO+, and RefCOCOg benchmarks.

Updated Aug 11, 2026

Models7
Model coverage7
MetricScore
EvidenceB

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  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

RefCOCO-avg Ranking

Higher score ranks better on this benchmark.

7 rows
Columns

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1ACQwen3.6 PlusAlibaba Cloud / Qwen Team0.935 points100.0%7CAug 11, 2026
2ACQwen3.6-27BAlibaba Cloud / Qwen Team0.925 points83.3%7CAug 11, 2026
3ACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen Team0.924 points66.7%7CAug 11, 2026
4ACQwen3.6-35B-A3BAlibaba Cloud / Qwen Team0.92 points50.0%7CAug 11, 2026
5ACQwen3.5-122B-A10BAlibaba Cloud / Qwen Team0.913 points33.3%7CAug 11, 2026
6ACQwen3.5-27BAlibaba Cloud / Qwen Team0.909 points16.7%7CAug 11, 2026
7ACQwen3.5-35B-A3BAlibaba Cloud / Qwen Team0.892 points0.0%7CAug 11, 2026

RefCOCO-avg Score Distribution

A closer view of the leading scores on this benchmark.

RefCOCO-avg

RefCOCO-avg Highlights

The leading models and scores on this benchmark.

Rank #1Qwen3.6 Plus0.935 pointsRank #2Qwen3.6-27B0.925 pointsRank #3Qwen3 VL 235B A22B Thinking0.924 pointsRank #4Qwen3.6-35B-A3B0.92 points

What is RefCOCO-avg?

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.

Family
RefCOCO-avg
Modality
image
Primary category
spatial reasoning
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
refcoco-avg|llm-stats-current

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 0.935 points.

What does RefCOCO-avg measure?

RefCOCO-avg measures object grounding accuracy averaged across RefCOCO, RefCOCO+, and RefCOCOg benchmarks.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

7 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.

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