knowledge benchmark
WorldBench Leaderboard
WorldBench evaluates real-world visual knowledge and understanding across diverse everyday scenes.
Updated Sep 5, 2026
Models2
Model coverage2
MetricScore
EvidenceB
WorldBench Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelBY | Score67.60% | Percentile100.00% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelBY | Score63.70% | Percentile0.00% | Participants2 | EvidenceC | Evaluated |
WorldBench Highlights
The leading models and scores on this benchmark.
WorldBench Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for WorldBench
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is WorldBench?
What WorldBench measures and how its scores work.
WorldBench is a benchmark for evaluating real-world visual knowledge and understanding across diverse everyday scenes.
It measures real-world visual knowledge and understanding across diverse everyday scenes.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- WorldBench
- Modality
- multimodal
- Primary category
- knowledge
- 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 WorldBench.
Which model scores highest on WorldBench?
Seed 2.1 Pro is currently ranked first with 67.60%.
What are the top three models on WorldBench?
The current leaders are Seed 2.1 Pro (67.60%) and Seed 2.1 Turbo (63.70%).
Which WorldBench model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among WorldBench results?
No matched runtime record is currently available.
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.