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spatial reasoning benchmark

Hypersim Leaderboard

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

Updated Aug 17, 2026

Models4
Model coverage4
MetricScore
EvidenceB

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  • FAQ

Hypersim Ranking

Higher score ranks better on this benchmark.

4 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen3.5-35B-A3BAlibaba Cloud / Qwen TeamScore0.131 pointsPercentile100.0%Participants4EvidenceCEvaluatedAug 17, 2026
Rank02ModelACQwen3.5-27BAlibaba Cloud / Qwen TeamScore0.13 pointsPercentile66.7%Participants4EvidenceCEvaluatedAug 17, 2026
Rank03ModelACQwen3.5-122B-A10BAlibaba Cloud / Qwen TeamScore0.127 pointsPercentile33.3%Participants4EvidenceCEvaluatedAug 17, 2026
Rank04ModelACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen TeamScore0.11 pointsPercentile0.0%Participants4EvidenceCEvaluatedAug 17, 2026

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

Hypersim Score Distribution

A closer view of the leading scores on this benchmark.

Hypersim

The Top AI Models for Hypersim

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

Ranking basisThis hypersim AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    AC
    Qwen3.5-35B-A3BAlibaba Cloud / Qwen Team
    Score
    0.131 points
    Price
    $0.25 input / $2.0 output per 1M tokens

    Strengths

    • Ranks #1 of 4 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Hypersim, not total model capability
  2. 02
    AC
    Qwen3.5-27BAlibaba Cloud / Qwen Team
    Score
    0.13 points
    Price
    $0.30 input / $2.4 output per 1M tokens
    Speed
    Up to 6.7 tok/s via Novita

    Strengths

    • Ranks #2 of 4 compared models
    • 67th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Hypersim, not total model capability
  3. 03
    AC
    Qwen3.5-122B-A10BAlibaba Cloud / Qwen Team
    Score
    0.127 points
    Price
    $0.40 input / $3.2 output per 1M tokens

    Strengths

    • Ranks #3 of 4 compared models
    • 33th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Hypersim, not total model capability
  4. 04
    AC
    Qwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen Team
    Score
    0.11 points

    Strengths

    • Ranks #4 of 4 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Hypersim, not total model capability

Selection summary

Best AI Models for Hypersim

Qwen3.5-35B-A3B currently leads Hypersim with 0.131 points. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.

Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.

Benchmark rank #1Qwen3.5-35B-A3B0.131 points · $0.25 input / $2.0 output per 1M tokensBenchmark rank #2Qwen3.5-27B0.13 points · $0.30 input / $2.4 output per 1M tokensBenchmark rank #3Qwen3.5-122B-A10B0.127 points · $0.40 input / $3.2 output per 1M tokens

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.