CountQA

Progress Over Time

Interactive timeline showing model performance evolution on CountQA

State-of-the-art frontier
Open
Proprietary

CountQA Leaderboard

1 models
ContextCostLicense
1
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
1.0M$0.32 / $1.28
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About this benchmark

What is CountQA?

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

CountQA is a multimodal benchmark evaluating models on multimodal and vision tasks. LLM Stats tracks 1 models on this benchmark, scored on a 0–1 scale. The current average is 0.8, with the leader at 0.8.

Compare leaders on the best AI for multimodal and best AI for vision leaderboards.

Current leaders

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

1Qwen3.7-PlusAlibaba Cloud / Qwen Team77.0%

FAQ

Common questions about the CountQA benchmark and leaderboard.

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.

Which model offers the best value on CountQA?

Among models scoring within 10% of the leader, Qwen3.7-Plus from Alibaba Cloud / Qwen Team is the cheapest, at $0.32 per million input tokens with a score of 0.770.

How recent are the CountQA leaderboard results?

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