reasoning benchmark
VCR_en_easy Leaderboard
Visual Commonsense Reasoning (VCR) benchmark that tests higher-order cognition and commonsense reasoning beyond simple object recognition. Models must answer challenging questions about images and provide rationales justifying their answers. The benchmark measures the ability to infer people's actions, goals, and mental states from visual context.
Updated Aug 17, 2026
Models1
Model coverage1
MetricScore
EvidenceB
VCR_en_easy Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score91.9% | Percentile100.0% | Participants1 | EvidenceC | Evaluated |
VCR_en_easy Highlights
The leading models and scores on this benchmark.
The Top AI Models for VCR_en_easy
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis vcr_en_easy 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.
- 01ACQwen2-VL-72B-InstructAlibaba Cloud / Qwen Team
- Score
- 91.9%
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures VCR_en_easy, not total model capability
Selection summary
Best AI Models for VCR_en_easy
Qwen2-VL-72B-Instruct currently leads VCR_en_easy with 91.9%. 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.
What is VCR_en_easy?
What VCR_en_easy measures and how its scores work.
Visual Commonsense Reasoning (VCR) benchmark that tests higher-order cognition and commonsense reasoning beyond simple object recognition. Models must answer challenging questions about images and provide rationales justifying their answers. The benchmark measures the ability to infer people's actions, goals, and mental states from visual context.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- VCR_en_easy
- Modality
- multimodal
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- vcr-en-easy|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about VCR_en_easy.
Which model scores highest on VCR_en_easy?
Qwen2-VL-72B-Instruct is currently ranked first with 91.9%.
What does VCR_en_easy measure?
Visual Commonsense Reasoning (VCR) benchmark that tests higher-order cognition and commonsense reasoning beyond simple object recognition. Models must answer challenging questions about images and provide rationales justifying their answers. The benchmark measures the ability to infer people's actions, goals, and mental states from visual context.
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.