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spatial reasoning benchmark

Hypersim

Hypersim evaluates 3D grounding and depth understanding in synthetic indoor scenes.

Updated Aug 11, 2026

Models4
Model coverage4
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

Hypersim Ranking

Higher score ranks better on this benchmark.

4 rows
Columns

Show columns

01ACQwen3.5-35B-A3BAlibaba Cloud / Qwen Team0.131 points100.0%4CAug 11, 2026
02ACQwen3.5-27BAlibaba Cloud / Qwen Team0.13 points66.7%4CAug 11, 2026
03ACQwen3.5-122B-A10BAlibaba Cloud / Qwen Team0.127 points33.3%4CAug 11, 2026
04ACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen Team0.11 points0.0%4CAug 11, 2026

Hypersim Score Distribution

A closer view of the leading scores on this benchmark.

Hypersim

Hypersim Highlights

The leading models and scores on this benchmark.

Rank #1Qwen3.5-35B-A3B0.131 pointsRank #2Qwen3.5-27B0.13 pointsRank #3Qwen3.5-122B-A10B0.127 pointsRank #4Qwen3 VL 235B A22B Thinking0.11 points

What is Hypersim?

What Hypersim measures and how its scores work.

Hypersim evaluates 3D grounding and depth understanding in synthetic indoor scenes.

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

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

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

FAQ

Common questions about Hypersim.

Which model scores highest on Hypersim?

Qwen3.5-35B-A3B is currently ranked first with 0.131 points.

What does Hypersim measure?

Hypersim evaluates 3D grounding and depth understanding in synthetic indoor scenes.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

4 model results are currently shown.

Does this benchmark affect the overall score?

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