Benchmark

Hallusion Bench

A comprehensive benchmark designed to evaluate image-context reasoning in large visual-language models (LVLMs) by challenging models with 346 images and…

Modality
multimodal
Categories
reasoning, vision
Openness
unknown
Source
llm_stats
Reported scores
18

Reported scores

llm_stats

ModelOrganizationReported valueReportedEvidence
LFM2.5-VL-3BLiquid AI0.4722026-08-12evidence
North Micro Vision InstructCohere0.6152026-08-12evidence
Qwen2.5 VL 72B InstructQwen0.55162025-01-26evidence
Qwen2.5 VL 7B InstructQwen0.5292025-01-26evidence
Qwen3 VL 235B A22B InstructQwen0.6322025-09-22evidence
Qwen3 VL 235B A22B ThinkingQwen0.6672025-09-22evidence
Qwen3 VL 30B A3B InstructQwen0.6152025-09-22evidence
Qwen3 VL 30B A3B ThinkingQwen0.662025-09-22evidence
Qwen3 VL 32B InstructQwen0.6382025-09-22evidence
Qwen3 VL 32B ThinkingQwen0.6742025-09-22evidence
Qwen3 VL 4B InstructQwen0.5762025-09-22evidence
Qwen3 VL 4B ThinkingQwen0.6412025-09-22evidence
Qwen3 VL 8B InstructQwen0.6112025-09-22evidence
Qwen3 VL 8B ThinkingQwen0.6542025-09-22evidence
Qwen3.5-122B-A10BQwen0.6762026-02-24evidence
Qwen3.5-27BQwen0.72026-02-24evidence
Qwen3.5-35B-A3BQwen0.6792026-02-24evidence
Qwen3.6-35B-A3BQwen0.6982026-04-16evidence

Scores are partitioned by the source that reported them and are never merged into a single cross-source ranking, because the sources measure different things and say so.