multimodal benchmark
VLMsAreBlind Leaderboard
VLMsAreBlind is a vision-language benchmark that probes blind spots and brittle reasoning in multimodal models.
Updated Sep 5, 2026
Models4
Model coverage4
MetricScore
EvidenceB
VLMsAreBlind Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score97.00% | Percentile100.00% | Participants4 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score97.00% | Percentile66.67% | Participants4 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score96.90% | Percentile33.33% | Participants4 | EvidenceC | Evaluated |
| Rank04 | ModelAC | Score96.70% | Percentile0.00% | Participants4 | EvidenceC | Evaluated |
VLMsAreBlind Highlights
The leading models and scores on this benchmark.
VLMsAreBlind Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for VLMsAreBlind
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is VLMsAreBlind?
What VLMsAreBlind measures and how its scores work.
VLMsAreBlind is a vision-language benchmark for multimodal models.
It probes blind spots and brittle reasoning, reported as Score in ratio units.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- VLMsAreBlind
- 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 VLMsAreBlind.
Which model scores highest on VLMsAreBlind?
Qwen3.5-35B-A3B is currently ranked first with 97.00%.
What are the top three models on VLMsAreBlind?
The current leaders are Qwen3.5-35B-A3B (97.00%), Qwen3.6-27B (97.00%), and Qwen3.5-27B (96.90%).
Which VLMsAreBlind model has the lowest official input price?
Qwen3.5-35B-A3B has the lowest matched official input price at $0.25 input / $2.0 output per 1M tokens.
Which models are fastest among VLMsAreBlind 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.