language benchmark
LingoQA
A benchmark for multimodal spatial-language understanding and visual-linguistic question answering.
Updated Aug 11, 2026
Models4
Model coverage4
MetricScore
EvidenceB
LingoQA Ranking
Higher score ranks better on this benchmark.
| 01 | AC | 83.4% | 100.0% | 4 | C | |
| 02 | AC | 82.0% | 66.7% | 4 | C | |
| 03 | AC | 80.8% | 33.3% | 4 | C | |
| 04 | AC | 79.2% | 0.0% | 4 | C |
LingoQA Score Distribution
A closer view of the leading scores on this benchmark.
LingoQA Highlights
The leading models and scores on this benchmark.
What is LingoQA?
What LingoQA measures and how its scores work.
A benchmark for multimodal spatial-language understanding and visual-linguistic question answering.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- LingoQA
- Modality
- multimodal
- Primary category
- language
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- lingoqa|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about LingoQA.
Which model scores highest on LingoQA?
Qwen3.7-Plus is currently ranked first with 83.4%.
What does LingoQA measure?
A benchmark for multimodal spatial-language understanding and visual-linguistic question answering.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
4 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.