multimodal benchmark
VisuLogic Leaderboard
VisuLogic evaluates logical reasoning capabilities in visual contexts.
Updated Sep 5, 2026
Models3
Model coverage3
MetricScore
EvidenceB
VisuLogic Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelBY | Score0.54 points | Percentile100.00% | Participants3 | EvidenceC | Evaluated |
| Rank02 | ModelBY | Score0.53 points | Percentile50.00% | Participants3 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score0.34 points | Percentile0.00% | Participants3 | EvidenceC | Evaluated |
VisuLogic Highlights
The leading models and scores on this benchmark.
VisuLogic Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for VisuLogic
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is VisuLogic?
What VisuLogic measures and how its scores work.
VisuLogic is a multimodal benchmark.
It measures logical reasoning capabilities in visual contexts using a Score in points.
Scores are shown in points. This benchmark is not independently verified and has an evidence level of B.
- Family
- VisuLogic
- Modality
- multimodal
- Primary category
- multimodal
- 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 VisuLogic.
Which model scores highest on VisuLogic?
Seed 2.1 Pro is currently ranked first with 0.54 points.
What are the top three models on VisuLogic?
The current leaders are Seed 2.1 Pro (0.54 points), Seed 2.1 Turbo (0.53 points), and Qwen3 VL 235B A22B Thinking (0.34 points).
Which VisuLogic model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among VisuLogic 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.