llmboard.aiLeaderboard Center
Overall
Overall RankingOpen Models
Tools
Model DirectoryCompare Models
Capabilities
CodingReasoningMathKnowledgeInstruction Following
Price & Efficiency
Price & ValueCapability vs. PriceRuntime Performance
Modalities
Image GenerationVideo GenerationSpeech ModelsEmbeddings
Core Benchmarks
GPQAMMLU-ProAIME 2025SWE-Bench VerifiedMMLUHumanity's Last ExamLiveCodeBenchMATHHumanEvalMMMU-ProView all benchmarks
Methods
Scoring & Data
393 models668 benchmarks

Leaderboard Center

Overall RankingCodingCore BenchmarksPrice & ValueRuntime Performance

Modalities

All ModelsImage GenerationImage EditingVideo GenerationImage-to-VideoVideo EditingText-to-SpeechSpeech-to-TextEmbeddings

Data & Methods

Scoring MethodAll BenchmarksReasoningMath

Vendors

All VendorsOpenAIAnthropicGoogle
llmboard.aiCopyright 2026 llmboard.ai

reasoning benchmark

ERQA

Embodied Reasoning Question Answering benchmark consisting of 400 multiple-choice visual questions across spatial reasoning, trajectory reasoning, action reasoning, state estimation, and multi-view reasoning for evaluating AI capabilities in physical world interactions

Updated Aug 11, 2026

Models23
Model coverage23
MetricScore
EvidenceC

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

ERQA Ranking

Higher score ranks better on this benchmark.

23 rows
Columns

Show columns

01ACQwen3.8 MaxAlibaba Cloud / Qwen Team77.8%100.0%23CAug 11, 2026
02BYSeed 2.1 ProByteDance72.0%95.5%23CAug 11, 2026
03BYSeed 2.1 TurboByteDance71.3%90.9%23CAug 11, 2026
04ACQwen3.7-PlusAlibaba Cloud / Qwen Team69.8%86.4%23CAug 11, 2026
05OPGPT-5OpenAI65.7%81.8%23CAug 11, 2026
06ACQwen3.6 PlusAlibaba Cloud / Qwen Team65.7%77.3%23CAug 11, 2026
07ACQwen3.5-35B-A3BAlibaba Cloud / Qwen Team64.8%72.7%23CAug 11, 2026
08MEMuse SparkMeta64.7%68.2%23CAug 11, 2026
09OPo3OpenAI64.0%63.6%23CAug 11, 2026
10ACQwen3.6-27BAlibaba Cloud / Qwen Team62.5%59.1%23CAug 11, 2026
11ACQwen3.5-122B-A10BAlibaba Cloud / Qwen Team62.0%54.5%23CAug 11, 2026
12ACQwen3.5-27BAlibaba Cloud / Qwen Team60.5%50.0%23CAug 11, 2026
13ACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen Team52.5%45.5%23CAug 11, 2026
14ACQwen3 VL 32B ThinkingAlibaba Cloud / Qwen Team52.3%40.9%23CAug 11, 2026
15ACQwen3 VL 235B A22B InstructAlibaba Cloud / Qwen Team51.3%36.4%23CAug 11, 2026
16ACQwen3 VL 32B InstructAlibaba Cloud / Qwen Team48.8%31.8%23CAug 11, 2026
17ACQwen3 VL 4B ThinkingAlibaba Cloud / Qwen Team47.3%27.3%23CAug 11, 2026
18ACQwen3 VL 8B ThinkingAlibaba Cloud / Qwen Team46.8%22.7%23CAug 11, 2026
19ACQwen3 VL 8B InstructAlibaba Cloud / Qwen Team45.8%18.2%23CAug 11, 2026
20ACQwen3 VL 30B A3B ThinkingAlibaba Cloud / Qwen Team45.3%13.6%23CAug 11, 2026
21ACQwen3 VL 30B A3B InstructAlibaba Cloud / Qwen Team43.0%9.1%23CAug 11, 2026
22ACQwen3 VL 4B InstructAlibaba Cloud / Qwen Team41.3%4.5%23CAug 11, 2026
23OPGPT-4oOpenAI35.2%0.0%23CAug 11, 2026

ERQA Score Distribution

A closer view of the leading scores on this benchmark.

ERQA

ERQA Highlights

The leading models and scores on this benchmark.

Rank #1Qwen3.8 Max77.8%Rank #2Seed 2.1 Pro72.0%Rank #3Seed 2.1 Turbo71.3%Rank #4Qwen3.7-Plus69.8%

What is ERQA?

What ERQA measures and how its scores work.

Embodied Reasoning Question Answering benchmark consisting of 400 multiple-choice visual questions across spatial reasoning, trajectory reasoning, action reasoning, state estimation, and multi-view reasoning for evaluating AI capabilities in physical world interactions

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

Family
ERQA
Modality
multimodal
Primary category
reasoning
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
erqa|llm-stats-current

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

FAQ

Common questions about ERQA.

Which model scores highest on ERQA?

Qwen3.8 Max is currently ranked first with 77.8%.

What does ERQA measure?

Embodied Reasoning Question Answering benchmark consisting of 400 multiple-choice visual questions across spatial reasoning, trajectory reasoning, action reasoning, state estimation, and multi-view reasoning for evaluating AI capabilities in physical world interactions

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

23 model results are currently shown.

Does this benchmark affect the overall score?

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