reasoning benchmark
VCR_en_easy
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 11, 2026
Models1
Model coverage1
MetricScore
EvidenceB
VCR_en_easy Ranking
Higher score ranks better on this benchmark.
| 1 | AC | 91.9% | 100.0% | 1 | C |
VCR_en_easy Highlights
The leading models and scores on this benchmark.
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.