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WorldVQA

Paper

Progress Over Time

Interactive timeline showing model performance evolution on WorldVQA

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WorldVQA Leaderboard

5 models
ContextCostLicense
1
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
2
ByteDance
ByteDance
3
Moonshot AI
Moonshot AI
2.8T1.0M$3.00 / $15.00
4
5
Moonshot AI
Moonshot AI
1.0T
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About this benchmark

What is WorldVQA?

WorldVQA is a benchmark designed to evaluate atomic vision-centric world knowledge. It assesses models' ability to understand and reason about visual elements representing real-world knowledge.

WorldVQA is a multimodal benchmark evaluating models on multimodal, reasoning, and vision tasks. LLM Stats tracks 5 models on this benchmark, scored on a 0–1 scale. The current average is 0.5, with the leader at 0.6.

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 WorldVQA leaderboard with a score of 0.611 across 5 evaluated AI models.

1Qwen3.7-PlusAlibaba Cloud / Qwen Team61.1%
2Seed 2.1 ProByteDance53.0%
3Kimi K3Moonshot AI51.0%

FAQ

Common questions about the WorldVQA benchmark and leaderboard.

What is the WorldVQA benchmark?

WorldVQA is a benchmark designed to evaluate atomic vision-centric world knowledge. It assesses models' ability to understand and reason about visual elements representing real-world knowledge.

What is the WorldVQA leaderboard?

The WorldVQA leaderboard ranks 5 AI models based on their performance on this benchmark. Currently, Qwen3.7-Plus by Alibaba Cloud / Qwen Team leads with a score of 0.611. The average score across all models is 0.520.

What is the highest WorldVQA score?

The highest WorldVQA score is 0.611, achieved by Qwen3.7-Plus from Alibaba Cloud / Qwen Team.

How many models are evaluated on WorldVQA?

5 models have been evaluated on the WorldVQA benchmark, with 0 verified results and 5 self-reported results.

Where can I find the WorldVQA paper?

The WorldVQA paper is available at https://github.com/MoonshotAI/WorldVQA. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does WorldVQA cover?

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

What is the best open-source model on WorldVQA?

Kimi K3 by Moonshot AI is the top-ranked open-source model on WorldVQA, with a score of 0.510 (rank #3).

How recent are the WorldVQA leaderboard results?

The WorldVQA leaderboard was last updated in August 2026 and currently includes 5 evaluated models.
WorldVQA Leaderboard