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VLADBench

Progress Over Time

Interactive timeline showing model performance evolution on VLADBench

State-of-the-art frontier
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VLADBench Leaderboard

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

What is VLADBench?

VLADBench is a vision-language autonomous-driving benchmark evaluating understanding of dynamic traffic scenes and participants.

VLADBench is a multimodal benchmark evaluating models on multimodal, reasoning, and vision tasks. LLM Stats tracks 1 models on this benchmark, scored on a 0–1 scale. The current average is 0.8, with the leader at 0.8.

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

Current leaders

Qwen3.7-Plus from Alibaba Cloud / Qwen Team currently leads the VLADBench leaderboard with a score of 0.772 across 1 evaluated AI models.

1Qwen3.7-PlusAlibaba Cloud / Qwen Team77.2%

FAQ

Common questions about the VLADBench benchmark and leaderboard.

What is the VLADBench benchmark?

VLADBench is a vision-language autonomous-driving benchmark evaluating understanding of dynamic traffic scenes and participants.

What is the VLADBench leaderboard?

The VLADBench leaderboard ranks 1 AI models based on their performance on this benchmark. Currently, Qwen3.7-Plus by Alibaba Cloud / Qwen Team leads with a score of 0.772. The average score across all models is 0.772.

What is the highest VLADBench score?

The highest VLADBench score is 0.772, achieved by Qwen3.7-Plus from Alibaba Cloud / Qwen Team.

How many models are evaluated on VLADBench?

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

What categories does VLADBench cover?

VLADBench is categorized under multimodal, reasoning, and vision. The benchmark evaluates multimodal models.

How recent are the VLADBench leaderboard results?

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