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reasoning benchmark

CountBench

CountBench evaluates object counting capabilities in visual understanding.

Updated Aug 11, 2026

Models6
Model coverage6
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

CountBench Ranking

Higher score ranks better on this benchmark.

6 rows
Columns

Show columns

01ACQwen3.5-27BAlibaba Cloud / Qwen Team0.978 points100.0%6CAug 11, 2026
02ACQwen3.5-35B-A3BAlibaba Cloud / Qwen Team0.978 points80.0%6CAug 11, 2026
03ACQwen3.6-27BAlibaba Cloud / Qwen Team0.978 points60.0%6CAug 11, 2026
04ACQwen3.6 PlusAlibaba Cloud / Qwen Team0.976 points40.0%6CAug 11, 2026
05ACQwen3.5-122B-A10BAlibaba Cloud / Qwen Team0.97 points20.0%6CAug 11, 2026
06ACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen Team0.937 points0.0%6CAug 11, 2026

CountBench Score Distribution

A closer view of the leading scores on this benchmark.

CountBench

CountBench Highlights

The leading models and scores on this benchmark.

Rank #1Qwen3.5-27B0.978 pointsRank #2Qwen3.5-35B-A3B0.978 pointsRank #3Qwen3.6-27B0.978 pointsRank #4Qwen3.6 Plus0.976 points

What is CountBench?

What CountBench measures and how its scores work.

CountBench evaluates object counting capabilities in visual understanding.

Scores are shown in points. This benchmark is not independently verified and has an evidence level of B.

Family
CountBench
Modality
image
Primary category
reasoning
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
countbench|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about CountBench.

Which model scores highest on CountBench?

Qwen3.5-27B is currently ranked first with 0.978 points.

What does CountBench measure?

CountBench evaluates object counting capabilities in visual understanding.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

6 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.