multimodal benchmark
LingoQA
A benchmark for multimodal spatial-language understanding and visual-linguistic question answering.
Updated Aug 7, 2026
Published models4
Registry coverage4
MetricScore
EvidenceB
LingoQA leaderboard
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | AC | 83.4% | 100.0% | 4 | C | |
| 2 | AC | 82.0% | 66.7% | 4 | C | |
| 3 | AC | 80.8% | 33.3% | 4 | C | |
| 4 | AC | 79.2% | 0.0% | 4 | C |
Score distribution
Top published rows on the benchmark's original scale.
LingoQA highlights
The top published results on this benchmark's own scale.
What is LingoQA?
Definition and scoring fields from the benchmark registry.
A benchmark for multimodal spatial-language understanding and visual-linguistic question answering.
Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.
- Family
- LingoQA
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- lingoqa|llm-stats-current
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
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 unique published model results are currently shown.
Does this benchmark affect the overall score?
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.