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spatial reasoning benchmark

RealWorldQA Leaderboard

RealWorldQA is a benchmark for evaluating basic real-world spatial understanding in multimodal models using over 700 anonymized images from vehicles and other real-world scenarios.

Updated Sep 5, 2026

Models31
Model coverage31
MetricScore
EvidenceB

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RealWorldQA Ranking

Higher score ranks better on this benchmark.

30 of 31 rows
Columns

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen3.8-Flash-NextAlibaba Cloud / Qwen TeamScore88.50%Percentile100.00%Participants31EvidenceCEvaluatedSep 8, 2026
Rank02ModelACQwen3.8 FlashAlibaba Cloud / Qwen TeamScore88.50%Percentile96.67%Participants31EvidenceCEvaluatedSep 8, 2026
Rank03ModelACQwen3.8 MaxAlibaba Cloud / Qwen TeamScore88.00%Percentile93.33%Participants31EvidenceCEvaluatedSep 8, 2026
Rank04ModelACQwen3.7-PlusAlibaba Cloud / Qwen TeamScore86.90%Percentile90.00%Participants31EvidenceCEvaluatedSep 8, 2026
Rank05ModelBYSeed 2.1 ProByteDanceScore86.70%Percentile86.67%Participants31EvidenceCEvaluatedSep 8, 2026
Rank06ModelBYSeed 2.1 TurboByteDanceScore86.30%Percentile83.33%Participants31EvidenceCEvaluatedSep 8, 2026
Rank07ModelACQwen3.8-27BAlibaba Cloud / Qwen TeamScore85.90%Percentile80.00%Participants31EvidenceCEvaluatedSep 8, 2026
Rank08ModelACQwen3.6 PlusAlibaba Cloud / Qwen TeamScore85.40%Percentile76.67%Participants31EvidenceCEvaluatedSep 8, 2026
Rank09ModelACQwen3.6-35B-A3BAlibaba Cloud / Qwen TeamScore85.30%Percentile73.33%Participants31EvidenceCEvaluatedSep 8, 2026
Rank10ModelACQwen3.5-122B-A10BAlibaba Cloud / Qwen TeamScore85.10%Percentile70.00%Participants31EvidenceCEvaluatedSep 8, 2026
Rank11ModelACQwen3.5-35B-A3BAlibaba Cloud / Qwen TeamScore84.10%Percentile66.67%Participants31EvidenceCEvaluatedSep 8, 2026
Rank12ModelACQwen3.6-27BAlibaba Cloud / Qwen TeamScore84.10%Percentile63.33%Participants31EvidenceCEvaluatedSep 8, 2026
Rank13ModelACQwen3.5-27BAlibaba Cloud / Qwen TeamScore83.70%Percentile60.00%Participants31EvidenceCEvaluatedSep 8, 2026
Rank14ModelACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen TeamScore81.30%Percentile56.67%Participants31EvidenceCEvaluatedSep 8, 2026
Rank15ModelACQwen3 VL 235B A22B InstructAlibaba Cloud / Qwen TeamScore79.30%Percentile53.33%Participants31EvidenceCEvaluatedSep 8, 2026
Rank16ModelACQwen3 VL 32B InstructAlibaba Cloud / Qwen TeamScore79.00%Percentile50.00%Participants31EvidenceCEvaluatedSep 8, 2026
Rank17ModelACQwen3 VL 32B ThinkingAlibaba Cloud / Qwen TeamScore78.40%Percentile46.67%Participants31EvidenceCEvaluatedSep 8, 2026
Rank18ModelACQwen2-VL-72B-InstructAlibaba Cloud / Qwen TeamScore77.80%Percentile43.33%Participants31EvidenceCEvaluatedSep 8, 2026
Rank19ModelACQwen3 VL 30B A3B ThinkingAlibaba Cloud / Qwen TeamScore77.40%Percentile40.00%Participants31EvidenceCEvaluatedSep 8, 2026
Rank20ModelACQwen3 VL 30B A3B InstructAlibaba Cloud / Qwen TeamScore73.70%Percentile36.67%Participants31EvidenceCEvaluatedSep 8, 2026
Rank21ModelACQwen3 VL 8B ThinkingAlibaba Cloud / Qwen TeamScore73.50%Percentile33.33%Participants31EvidenceCEvaluatedSep 8, 2026
Rank22ModelACQwen3 VL 4B ThinkingAlibaba Cloud / Qwen TeamScore73.20%Percentile30.00%Participants31EvidenceCEvaluatedSep 8, 2026
Rank23ModelLALFM2.5-VL-3BLiquid AIScore73.10%Percentile26.67%Participants31EvidenceCEvaluatedSep 8, 2026
Rank24ModelACQwen3 VL 8B InstructAlibaba Cloud / Qwen TeamScore71.50%Percentile23.33%Participants31EvidenceCEvaluatedSep 8, 2026
Rank25ModelACQwen3 VL 4B InstructAlibaba Cloud / Qwen TeamScore70.90%Percentile20.00%Participants31EvidenceCEvaluatedSep 8, 2026
Rank26ModelACQwen2.5-Omni-7BAlibaba Cloud / Qwen TeamScore70.30%Percentile16.67%Participants31EvidenceCEvaluatedSep 8, 2026
Rank27ModelXAGrok-1.5VxAIScore68.70%Percentile13.33%Participants31EvidenceCEvaluatedSep 8, 2026
Rank28ModelDEDeepSeek VL2DeepSeekScore68.40%Percentile10.00%Participants31EvidenceCEvaluatedSep 8, 2026
Rank29ModelDEDeepSeek VL2 SmallDeepSeekScore65.40%Percentile6.67%Participants31EvidenceCEvaluatedSep 8, 2026
Rank30ModelDEDeepSeek VL2 TinyDeepSeekScore64.20%Percentile3.33%Participants31EvidenceCEvaluatedSep 8, 2026

RealWorldQA Highlights

The leading models and scores on this benchmark.

RealWorldQA Score Distribution

A closer view of the leading scores on this benchmark.

RealWorldQA

The Top AI Models for RealWorldQA

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

What is RealWorldQA?

What RealWorldQA measures and how its scores work.

RealWorldQA is a benchmark released by xAI as part of the Grok-1.5 Vision preview, consisting of images accompanied by questions and easily verifiable answers.

It measures basic real-world spatial understanding, including the ability to understand natural scenes and spatial relationships in everyday visual contexts, using Score reported as a ratio.

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

Family
RealWorldQA
Modality
multimodal
Primary category
spatial reasoning
Score direction
higher
LLMBoard eligible
No
Evaluation key
overall

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

FAQ

Common questions about RealWorldQA.

Which model scores highest on RealWorldQA?

Qwen3.8-Flash-Next is currently ranked first with 88.50%.

What are the top three models on RealWorldQA?

The current leaders are Qwen3.8-Flash-Next (88.50%), Qwen3.8 Flash (88.50%), and Qwen3.8 Max (88.00%).

Which RealWorldQA model has the lowest official input price?

Qwen2.5-Omni-7B has the lowest matched official input price at $0.10 input / $0.40 output per 1M tokens.

Which models are fastest among RealWorldQA results?

The fastest matched records are Qwen3.8 Max (60.87 tok/s via DeepInfra) and Qwen3 VL 4B Thinking (8.77 tok/s via DeepInfra).

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does RealWorldQA measure?

It measures basic real-world spatial understanding, including the ability to understand natural scenes and spatial relationships in everyday visual contexts, using Score reported as a ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

31 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.

Rank #1Qwen3.8-Flash-Next88.50%
Rank #2Qwen3.8 Flash88.50%
Rank #3Qwen3.8 Max88.00%
Rank #4Qwen3.7-Plus86.90%

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

  1. 01
    AC
    Qwen3.8-Flash-NextAlibaba Cloud / Qwen Team
    Score
    88.50%

    Strengths

    • Ranks #1 of 31 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures RealWorldQA, not total model capability
  2. 02
    AC
    Qwen3.8 FlashAlibaba Cloud / Qwen Team
    Score
    88.50%
    Price
    $0.15 input / $0.47 output per 1M tokens

    Strengths

    • Ranks #2 of 31 compared models
    • 97th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures RealWorldQA, not total model capability
  3. 03
    AC
    Alibaba Cloud / Qwen Team
    Score
    88.00%
    Price
    $2.0 input / $6.0 output per 1M tokens
    Speed
    Up to 60.87 tok/s via DeepInfra

    Strengths

    • Ranks #3 of 31 compared models
    • 93th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures RealWorldQA, not total model capability
  4. 04
    AC
    Alibaba Cloud / Qwen Team
    Score
    86.90%
    Price
    $0.50 input / $3.0 output per 1M tokens

    Strengths

    • Ranks #4 of 31 compared models
    • 90th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures RealWorldQA, not total model capability
  5. 05
    BY
    ByteDance
    Score
    86.70%

    Strengths

    • Ranks #5 of 31 compared models
    • 87th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures RealWorldQA, not total model capability

Selection summary

Best AI Models for RealWorldQA

Qwen3.8-Flash-Next currently leads RealWorldQA with 88.50%. 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.

Qwen3.8 Max
Qwen3.7-Plus
Seed 2.1 Pro
Benchmark rank #1Qwen3.8-Flash-Next88.50%
Benchmark rank #2Qwen3.8 Flash88.50% · $0.15 input / $0.47 output per 1M tokens
Benchmark rank #3Qwen3.8 Max88.00% · $2.0 input / $6.0 output per 1M tokens