multimodal benchmark
V*
A visual reasoning benchmark evaluating multimodal inference under challenging spatial and grounded tasks.
Updated Aug 11, 2026
Models7
Model coverage7
MetricScore
EvidenceB
V* Ranking
Higher score ranks better on this benchmark.
| 1 | MA | 96.9% | 100.0% | 7 | C | |
| 2 | AC | 96.9% | 83.3% | 7 | C | |
| 3 | AC | 94.7% | 66.7% | 7 | C | |
| 4 | AC | 93.7% | 50.0% | 7 | C | |
| 5 | AC | 93.2% | 33.3% | 7 | C | |
| 6 | AC | 92.7% | 16.7% | 7 | C | |
| 7 | ZA | 89.0% | 0.0% | 7 | C |
V* Score Distribution
A closer view of the leading scores on this benchmark.
V* Highlights
The leading models and scores on this benchmark.
What is V*?
What V* measures and how its scores work.
A visual reasoning benchmark evaluating multimodal inference under challenging spatial and grounded tasks.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- V*
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- v-star|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about V*.
Which model scores highest on V*?
Kimi K2.6 is currently ranked first with 96.9%.
What does V* measure?
A visual reasoning benchmark evaluating multimodal inference under challenging spatial and grounded tasks.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
7 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.