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.
What CountBench measures
CountBench is a image benchmark that evaluates large language models on reasoning, spatial reasoning, and vision tasks. LLM Stats tracks 6 models on this benchmark, with a maximum possible score of 100. Current average across reported models is 1.0, with the leader reaching 1.0.
Compare leaders on the best AI for reasoning, best AI for spatial reasoning and best AI for vision leaderboards.
Qwen3.5-27B leads with 1.0%, followed by Qwen3.5-35B-A3B at 1.0% and Qwen3.6-27B at 1.0%.
Progress Over Time
Interactive timeline showing model performance evolution on CountBench
CountBench Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  Alibaba Cloud / Qwen Team | 27B | 262K | $0.30 / $2.40 | ||
| 1 | Alibaba Cloud / Qwen Team | 35B | 262K | $0.25 / $2.00 | ||
| 1 | Alibaba Cloud / Qwen Team | 28B | 262K | $0.60 / $3.60 | ||
| 4 | Alibaba Cloud / Qwen Team | — | 1.0M | $0.50 / $3.00 | ||
| 5 | Alibaba Cloud / Qwen Team | 122B | 262K | $0.40 / $3.20 | ||
| 6 | Alibaba Cloud / Qwen Team | 236B | — | — |
FAQ
Common questions about CountBench.
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