CountBench

CountBench evaluates object counting capabilities in visual understanding.

Qwen3.5-27B from Alibaba Cloud / Qwen Team currently leads the CountBench leaderboard with a score of 0.978 across 6 evaluated AI models.

Alibaba Cloud / Qwen TeamQwen3.5-27B leads with 1.0%, followed by Alibaba Cloud / Qwen TeamQwen3.5-35B-A3B at 1.0% and Alibaba Cloud / Qwen TeamQwen3.6-27B at 1.0%.

Progress Over Time

Interactive timeline showing model performance evolution on CountBench

State-of-the-art frontier
Open
Proprietary

CountBench Leaderboard

6 models
ContextCostLicense
1
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
27B262K$0.30 / $2.40
1
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
35B262K$0.25 / $2.00
1
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
28B262K$0.60 / $3.60
4
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
1.0M$0.50 / $3.00
5
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
122B262K$0.40 / $3.20
6
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
236B262K$0.45 / $3.49
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FAQ

Common questions about CountBench.

What is the CountBench benchmark?

CountBench evaluates object counting capabilities in visual understanding.

What is the CountBench leaderboard?

The CountBench leaderboard ranks 6 AI models based on their performance on this benchmark. Currently, Qwen3.5-27B by Alibaba Cloud / Qwen Team leads with a score of 0.978. The average score across all models is 0.970.

What is the highest CountBench score?

The highest CountBench score is 0.978, achieved by Qwen3.5-27B from Alibaba Cloud / Qwen Team.

How many models are evaluated on CountBench?

6 models have been evaluated on the CountBench benchmark, with 0 verified results and 6 self-reported results.

What categories does CountBench cover?

CountBench is categorized under reasoning, spatial reasoning, and vision. The benchmark evaluates image models.

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