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 7, 2026
Published models1
Registry coverage1
MetricScore
EvidenceB
VCR_en_easy leaderboard
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | AC | 91.9% | 100.0% | 1 | C |
VCR_en_easy highlights
The top published results on this benchmark's own scale.
What is VCR_en_easy?
Definition and scoring fields from the benchmark registry.
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. The current registry marks this benchmark as not independently verified with evidence level B.
- Family
- VCR_en_easy
- Modality
- multimodal
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- vcr-en-easy|llm-stats-current
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
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 unique published model results are currently shown.
Does this benchmark affect the overall score?
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.