multimodal benchmark
VLMsAreBiased Leaderboard
VLMsAreBiased evaluates whether vision-language models rely on visual evidence or fall back on language priors when answering.
Updated Aug 17, 2026
Models2
Model coverage2
MetricScore
EvidenceB
VLMsAreBiased Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelBY | Score83.6% | Percentile100.0% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelBY | Score68.3% | Percentile0.0% | Participants2 | EvidenceC | Evaluated |
VLMsAreBiased Highlights
The leading models and scores on this benchmark.
VLMsAreBiased Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for VLMsAreBiased
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis vlmsarebiased AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01BYSeed 2.1 ProByteDance
- Score
- 83.6%
Strengths
- Ranks #1 of 2 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures VLMsAreBiased, not total model capability
- 02BYSeed 2.1 TurboByteDance
- Score
- 68.3%
Strengths
- Ranks #2 of 2 compared models
- 0th percentile on this benchmark
- C evidence result
Considerations
- This result measures VLMsAreBiased, not total model capability
Selection summary
Best AI Models for VLMsAreBiased
Seed 2.1 Pro currently leads VLMsAreBiased with 83.6%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is VLMsAreBiased?
What VLMsAreBiased measures and how its scores work.
VLMsAreBiased evaluates whether vision-language models rely on visual evidence or fall back on language priors when answering.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- VLMsAreBiased
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- vlmsarebiased|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about VLMsAreBiased.
Which model scores highest on VLMsAreBiased?
Seed 2.1 Pro is currently ranked first with 83.6%.
What does VLMsAreBiased measure?
VLMsAreBiased evaluates whether vision-language models rely on visual evidence or fall back on language priors when answering.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
2 model results are currently shown.
Does this benchmark affect the overall score?
No. This benchmark is shown for reference but does not contribute to the overall score.