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EmbSpatialBench

Progress Over Time

Interactive timeline showing model performance evolution on EmbSpatialBench

State-of-the-art frontier
Open
Proprietary

EmbSpatialBench Leaderboard

8 models
ContextCostLicense
1
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
28B262K$0.60 / $3.60
2
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
27B262K$0.30 / $2.40
3
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
35B
3
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
236B
5
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
122B
6
ByteDance
ByteDance
7
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
35B
8
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About this benchmark

What is EmbSpatialBench?

EmbSpatialBench evaluates embodied spatial understanding and reasoning capabilities.

EmbSpatialBench is a image benchmark evaluating models on spatial reasoning, embodied, and vision tasks. LLM Stats tracks 8 models on this benchmark, scored on a 0–100 scale. The current average is 0.8, with the leader at 0.8.

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

Current leaders

Qwen3.6-27B from Alibaba Cloud / Qwen Team currently leads the EmbSpatialBench leaderboard with a score of 0.846 across 8 evaluated AI models.

1Qwen3.6-27BAlibaba Cloud / Qwen Team0.8%
2Qwen3.5-27BAlibaba Cloud / Qwen Team0.8%
3Qwen3.6-35B-A3BAlibaba Cloud / Qwen Team0.8%

FAQ

Common questions about the EmbSpatialBench benchmark and leaderboard.

What is the EmbSpatialBench benchmark?

EmbSpatialBench evaluates embodied spatial understanding and reasoning capabilities.

What is the EmbSpatialBench leaderboard?

The EmbSpatialBench leaderboard ranks 8 AI models based on their performance on this benchmark. Currently, Qwen3.6-27B by Alibaba Cloud / Qwen Team leads with a score of 0.846. The average score across all models is 0.838.

What is the highest EmbSpatialBench score?

The highest EmbSpatialBench score is 0.846, achieved by Qwen3.6-27B from Alibaba Cloud / Qwen Team.

How many models are evaluated on EmbSpatialBench?

8 models have been evaluated on the EmbSpatialBench benchmark, with 0 verified results and 8 self-reported results.

What categories does EmbSpatialBench cover?

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

What is the best open-source model on EmbSpatialBench?

Qwen3.6-27B by Alibaba Cloud / Qwen Team is the top-ranked open-source model on EmbSpatialBench, with a score of 0.846 (rank #1).

Which model offers the best value on EmbSpatialBench?

Among models scoring within 10% of the leader, Qwen3.5-27B from Alibaba Cloud / Qwen Team is the cheapest, at $0.30 per million input tokens with a score of 0.845.

How recent are the EmbSpatialBench leaderboard results?

The EmbSpatialBench leaderboard was last updated in August 2026 and currently includes 8 evaluated models.
EmbSpatialBench Leaderboard