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PointGrounding

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Progress Over Time

Interactive timeline showing model performance evolution on PointGrounding

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PointGrounding Leaderboard

1 models
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1
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
7B
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About this benchmark

What is PointGrounding?

PointArena is a comprehensive platform for evaluating multimodal pointing across diverse reasoning scenarios. It includes Point-Bench, a curated dataset of ~1,000 pointing tasks across five categories: Spatial (positional references), Affordance (functional part identification), Counting (attribute-based grouping), Steerable (relative pointing), and Reasoning (open-ended visual inference). The benchmark evaluates language-guided pointing capabilities in vision-language models.

PointGrounding is a multimodal benchmark evaluating models on multimodal, spatial reasoning, grounding, and vision tasks. LLM Stats tracks 1 models on this benchmark, scored on a 0–1 scale. The current average is 0.7, with the leader at 0.7.

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

Current leaders

Qwen2.5-Omni-7B from Alibaba Cloud / Qwen Team currently leads the PointGrounding leaderboard with a score of 0.665 across 1 evaluated AI models.

1Qwen2.5-Omni-7BAlibaba Cloud / Qwen Team66.5%

FAQ

Common questions about the PointGrounding benchmark and leaderboard.

What is the PointGrounding benchmark?

PointArena is a comprehensive platform for evaluating multimodal pointing across diverse reasoning scenarios. It includes Point-Bench, a curated dataset of ~1,000 pointing tasks across five categories: Spatial (positional references), Affordance (functional part identification), Counting (attribute-based grouping), Steerable (relative pointing), and Reasoning (open-ended visual inference). The benchmark evaluates language-guided pointing capabilities in vision-language models.

What is the PointGrounding leaderboard?

The PointGrounding leaderboard ranks 1 AI models based on their performance on this benchmark. Currently, Qwen2.5-Omni-7B by Alibaba Cloud / Qwen Team leads with a score of 0.665. The average score across all models is 0.665.

What is the highest PointGrounding score?

The highest PointGrounding score is 0.665, achieved by Qwen2.5-Omni-7B from Alibaba Cloud / Qwen Team.

How many models are evaluated on PointGrounding?

1 models have been evaluated on the PointGrounding benchmark, with 0 verified results and 1 self-reported results.

Where can I find the PointGrounding paper?

The PointGrounding paper is available at https://arxiv.org/abs/2505.09990. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does PointGrounding cover?

PointGrounding is categorized under multimodal, spatial reasoning, grounding, and vision. The benchmark evaluates multimodal models.

What is the best open-source model on PointGrounding?

Qwen2.5-Omni-7B by Alibaba Cloud / Qwen Team is the top-ranked open-source model on PointGrounding, with a score of 0.665 (rank #1).

How recent are the PointGrounding leaderboard results?

The PointGrounding leaderboard was last updated in August 2026 and currently includes 1 evaluated models.