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CountBench

Progress Over Time

Interactive timeline showing model performance evolution on CountBench

State-of-the-art frontier
Open
Proprietary

CountBench Leaderboard

9 models
ContextCostLicense
1
ByteDance
ByteDance
—256K$0.25 / $2.00
2
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
27B262K$0.26 / $2.60
2
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
35B262K$0.14 / $1.00
2
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
28B262K$0.32 / $3.20
5
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
—1.0M$0.50 / $3.00
6
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
122B262K$0.29 / $2.40
7
ByteDance
ByteDance
—256K$0.10 / $0.40
8
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
236B——
92B——
Notice missing or incorrect data?
About this benchmark

What is CountBench?

CountBench evaluates object counting capabilities in visual understanding.

CountBench is a image benchmark evaluating models on reasoning, spatial reasoning, and vision tasks. LLM Stats tracks 9 models on this benchmark, scored on a 0–100 scale. The current average is 11.5, with the leader at 96.3.

Compare leaders on the best AI for reasoning, best AI for spatial reasoning and best AI for vision leaderboards.

Current leaders

Seed 1.8 from ByteDance currently leads the CountBench leaderboard with a score of 96.300 across 9 evaluated AI models.

1Seed 1.8ByteDance96.3%
2Qwen3.5-27BAlibaba Cloud / Qwen Team1.0%
2Qwen3.5-35B-A3BAlibaba Cloud / Qwen Team1.0%

FAQ

Common questions about the CountBench benchmark and leaderboard.

What is the CountBench benchmark?

CountBench evaluates object counting capabilities in visual understanding.

What is the CountBench leaderboard?

The CountBench leaderboard ranks 9 AI models based on their performance on this benchmark. Currently, Seed 1.8 by ByteDance leads with a score of 96.300. The average score across all models is 11.533.

What is the highest CountBench score?

The highest CountBench score is 96.300, achieved by Seed 1.8 from ByteDance.

How many models are evaluated on CountBench?

9 models have been evaluated on the CountBench benchmark, with 0 verified results and 9 self-reported results.

What categories does CountBench cover?

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

What is the best open-source model on CountBench?

Qwen3.5-27B by Alibaba Cloud / Qwen Team is the top-ranked open-source model on CountBench, with a score of 0.978 (rank #2).

Which model offers the best value on CountBench?

Among models scoring within 10% of the leader, Seed 1.8 from ByteDance is the cheapest, at $0.25 per million input tokens with a score of 96.300.

How recent are the CountBench leaderboard results?

The CountBench leaderboard was last updated in October 2026 and currently includes 9 evaluated models.