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Qwen3-VL-235B-A22B-Instruct

Alibaba · 2025-09-22 · 235.7B parameters

Qwen3-VL-235B-A22B-Instruct is the instruction-tuned variant of Alibaba's flagship open-weight Qwen3-VL vision-language MoE model. It supports text, image, and video understanding, multilingual OCR, spatial grounding, and visual-agent workflows in a non-thinking instruction-following mode. Its native context window is 262,144 tokens and can be extended to 1,000,000 tokens with YaRN.

Benchmark scores

BenchmarkScore
AA-LCR31.7
AA-Omniscience Index-50.7
AIME 2025 (Artificial Analysis avg@10)70.7
Artificial Analysis Intelligence Index14.3
Artificial Analysis Omniscience Accuracy20.2
Artificial Analysis Omniscience Hallucination Rate88.7
Artificial Analysis Openness Index50.0
BuseyBench SVG2.0
Capability139.9
ClockBench Accuracy39.4
CritPt (avg@5)0.0
GPQA Diamond (Artificial Analysis avg@5)71.2
Humanity's Last Exam (Text-Only)6.3
IFBench (Artificial Analysis)42.7
Kangaroo 2025 1-258.3
Kangaroo 2025 11-1285.8
Kangaroo 2025 3-458.3
Kangaroo 2025 5-660.8
Kangaroo 2025 7-882.5
Kangaroo 2025 9-1089.2
LiveCodeBench (Artificial Analysis)59.4
MATH-Vision66.0
MMLU Pro82.3
MMMU Pro67.6
ObviousBench63.9
OmniDocBench v1.589.2
Roboflow Vision Evals68.0
Roboflow Vision Evals - Data Extraction86.6
Roboflow Vision Evals - Object Counting47.3
Roboflow Vision Evals - Object Detection (mAP@50:95)40.3
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