CountQA

CountQA is a benchmark for visual object counting and quantity reasoning over images.

Qwen3.7-Plus from Alibaba Cloud / Qwen Team currently leads the CountQA leaderboard with a score of 0.770 across 1 evaluated AI models.

About this benchmark

What CountQA measures

CountQA is a multimodal benchmark that evaluates large language models on multimodal and vision tasks. LLM Stats tracks 1 model 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 multimodal and best AI for vision leaderboards.

Alibaba Cloud / Qwen TeamQwen3.7-Plus leads with 77.0%.

Progress Over Time

Interactive timeline showing model performance evolution on CountQA

State-of-the-art frontier
Open
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CountQA Leaderboard

1 models
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1
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
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FAQ

Common questions about CountQA.

What is the CountQA benchmark?

CountQA is a benchmark for visual object counting and quantity reasoning over images.

What is the CountQA leaderboard?

The CountQA leaderboard ranks 1 AI models based on their performance on this benchmark. Currently, Qwen3.7-Plus by Alibaba Cloud / Qwen Team leads with a score of 0.770. The average score across all models is 0.770.

What is the highest CountQA score?

The highest CountQA score is 0.770, achieved by Qwen3.7-Plus from Alibaba Cloud / Qwen Team.

How many models are evaluated on CountQA?

1 models have been evaluated on the CountQA benchmark, with 0 verified results and 1 self-reported results.

What categories does CountQA cover?

CountQA is categorized under multimodal and vision. The benchmark evaluates multimodal models.

How recent are the CountQA leaderboard results?

The CountQA leaderboard was last updated in June 2026 and currently includes 1 evaluated models.

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CountQA Leaderboard