Hallusion Bench

A comprehensive benchmark designed to evaluate image-context reasoning in large visual-language models (LVLMs) by challenging models with 346 images and 1,129 carefully crafted questions to assess language hallucination and visual illusion

Qwen3.5-27B from Alibaba Cloud / Qwen Team currently leads the Hallusion Bench leaderboard with a score of 0.700 across 16 evaluated AI models.

Paper

Alibaba Cloud / Qwen TeamQwen3.5-27B leads with 70.0%, followed by Alibaba Cloud / Qwen TeamQwen3.6-35B-A3B at 69.8% and Alibaba Cloud / Qwen TeamQwen3.5-35B-A3B at 67.9%.

Progress Over Time

Interactive timeline showing model performance evolution on Hallusion Bench

State-of-the-art frontier
Open
Proprietary

Hallusion Bench Leaderboard

16 models
ContextCostLicense
1
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
27B262K$0.30 / $2.40
2
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
35B
3
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
35B262K$0.25 / $2.00
4
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
122B262K$0.40 / $3.20
5
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
33B
6
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
236B262K$0.45 / $3.49
7
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
31B
8
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
9B262K$0.18 / $2.09
9
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
4B262K$0.10 / $1.00
10
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
33B
11
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
236B262K$0.30 / $1.49
12
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
31B
13
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
9B262K$0.08 / $0.50
14
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
4B262K$0.10 / $0.60
15
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
72B
16
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
8B
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FAQ

Common questions about Hallusion Bench.

What is the Hallusion Bench benchmark?

A comprehensive benchmark designed to evaluate image-context reasoning in large visual-language models (LVLMs) by challenging models with 346 images and 1,129 carefully crafted questions to assess language hallucination and visual illusion

What is the Hallusion Bench leaderboard?

The Hallusion Bench leaderboard ranks 16 AI models based on their performance on this benchmark. Currently, Qwen3.5-27B by Alibaba Cloud / Qwen Team leads with a score of 0.700. The average score across all models is 0.638.

What is the highest Hallusion Bench score?

The highest Hallusion Bench score is 0.700, achieved by Qwen3.5-27B from Alibaba Cloud / Qwen Team.

How many models are evaluated on Hallusion Bench?

16 models have been evaluated on the Hallusion Bench benchmark, with 0 verified results and 16 self-reported results.

Where can I find the Hallusion Bench paper?

The Hallusion Bench paper is available at https://arxiv.org/abs/2310.14566. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does Hallusion Bench cover?

Hallusion Bench is categorized under vision and reasoning. The benchmark evaluates multimodal models.

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