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multimodal benchmark

SURDS Leaderboard

SURDS is a benchmark for spatial understanding and reasoning in autonomous-driving scenes.

Updated Aug 17, 2026

Models1
Model coverage1
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
  • Top models
  • About
  • FAQ

SURDS Ranking

Higher score ranks better on this benchmark.

1 rows
Columns

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen3.7-PlusAlibaba Cloud / Qwen TeamScore77.2%Percentile100.0%Participants1EvidenceCEvaluatedAug 17, 2026

SURDS Highlights

The leading models and scores on this benchmark.

Rank #1Qwen3.7-Plus77.2%

The Top AI Models for SURDS

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

Ranking basisThis surds 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
    Qwen3.7-PlusAlibaba Cloud / Qwen Team
    Score
    77.2%
    Price
    $0.50 input / $3.0 output per 1M tokens

    Strengths

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

    Considerations

    • This result measures SURDS, not total model capability

Selection summary

Best AI Models for SURDS

Qwen3.7-Plus currently leads SURDS with 77.2%. 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 #1Qwen3.7-Plus77.2% · $0.50 input / $3.0 output per 1M tokens

What is SURDS?

What SURDS measures and how its scores work.

SURDS is a benchmark for spatial understanding and reasoning in autonomous-driving scenes.

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

Family
SURDS
Modality
multimodal
Primary category
multimodal
Score direction
higher
LLMBoard eligible
No
Evaluation key
surds|llm-stats-current

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

FAQ

Common questions about SURDS.

Which model scores highest on SURDS?

Qwen3.7-Plus is currently ranked first with 77.2%.

What does SURDS measure?

SURDS is a benchmark for spatial understanding and reasoning in autonomous-driving scenes.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

1 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.