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spatial reasoning benchmark

RefSpatialBench

RefSpatialBench evaluates spatial reference understanding and grounding.

Updated Aug 11, 2026

Models6
Model coverage6
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

RefSpatialBench Ranking

Higher score ranks better on this benchmark.

6 rows
Columns

Show columns

01ACQwen3.6-27BAlibaba Cloud / Qwen Team0.7 points100.0%6CAug 11, 2026
02ACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen Team0.699 points80.0%6CAug 11, 2026
03ACQwen3.5-122B-A10BAlibaba Cloud / Qwen Team0.693 points60.0%6CAug 11, 2026
04ACQwen3.5-27BAlibaba Cloud / Qwen Team0.677 points40.0%6CAug 11, 2026
05ACQwen3.6-35B-A3BAlibaba Cloud / Qwen Team0.643 points20.0%6CAug 11, 2026
06ACQwen3.5-35B-A3BAlibaba Cloud / Qwen Team0.635 points0.0%6CAug 11, 2026

RefSpatialBench Score Distribution

A closer view of the leading scores on this benchmark.

RefSpatialBench

RefSpatialBench Highlights

The leading models and scores on this benchmark.

Rank #1Qwen3.6-27B0.7 pointsRank #2Qwen3 VL 235B A22B Thinking0.699 pointsRank #3Qwen3.5-122B-A10B0.693 pointsRank #4Qwen3.5-27B0.677 points

What is RefSpatialBench?

What RefSpatialBench measures and how its scores work.

RefSpatialBench evaluates spatial reference understanding and grounding.

Scores are shown in points. This benchmark is not independently verified and has an evidence level of B.

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

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about RefSpatialBench.

Which model scores highest on RefSpatialBench?

Qwen3.6-27B is currently ranked first with 0.7 points.

What does RefSpatialBench measure?

RefSpatialBench evaluates spatial reference understanding and grounding.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

6 model results are currently shown.

Does this benchmark affect the overall score?

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