LingoQA
A benchmark for multimodal spatial-language understanding and visual-linguistic question answering.
Qwen3.5-27B from Alibaba Cloud / Qwen Team currently leads the LingoQA leaderboard with a score of 0.820 across 3 evaluated AI models.
What LingoQA measures
LingoQA is a multimodal benchmark that evaluates large language models on language, multimodal, reasoning, and vision tasks. LLM Stats tracks 3 models on this benchmark, with a maximum possible score of 1. Current average across reported models is 0.8, with the leader reaching 0.8.
Compare leaders on the best AI for language, best AI for multimodal, best AI for reasoning and best AI for vision leaderboards.
Qwen3.5-27B leads with 82.0%, followed by Qwen3.5-122B-A10B at 80.8% and Qwen3.5-35B-A3B at 79.2%.
Progress Over Time
Interactive timeline showing model performance evolution on LingoQA
LingoQA Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  Alibaba Cloud / Qwen Team | 27B | 262K | $0.30 / $2.40 | ||
| 2 | Alibaba Cloud / Qwen Team | 122B | 262K | $0.40 / $3.20 | ||
| 3 | Alibaba Cloud / Qwen Team | 35B | 262K | $0.25 / $2.00 |
FAQ
Common questions about LingoQA.
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