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Visual Perception on MMStar

73.07AccuracyQwen3-VL-8B
28.589240.137151.68563.2329Jun 25, 2024Oct 18, 2024Feb 11, 2025Jun 6, 2025Sep 30, 2025Jan 23, 2026May 19, 2026

Evaluation results

MethodLinks
Qwen3-VL-8BTraining=Staged2026.0573.07
OneThinker-8BTraining=Base2026.0570.2
Qwen3-VL-8BTraining=Base2026.0570
V-ZeroBackbone=Qwen2.5-VL-7B-Instruct, Iteration=12026.0165.7
V-ZeroBackbone=Qwen2.5-VL-7B-Instruct, Iteration=22026.0165.1
WeThink-7BTraining=Base2026.0564.67
GThinker-7BTraining=Base2026.0564.6
Supervised GRPOBackbone=Qwen2.5-VL-7B-Instruct2026.0164.5
Qwen2.5-VL-7BTraining=Base2026.0564.4
Qwen2.5-VL-7BTraining=Staged2026.0564.07
Qwen2.5-VL-7B-Instruct (Base)Backbone=Qwen2.5-VL-7B-Instruct, Training Strategy=Base Model2026.0163.9
MMR1-7BTraining=Base2026.0563.67
OpenVLThinker-7BTraining=Base2026.0563.4
OpenVLThinker-7BBackbone=Qwen2.5-VL-7B-Instruct2026.0159.6
R1-OneVision-RL-7BTraining=Base2026.0558.13
V-ZeroBackbone=Qwen2.5-VL-3B-Instruct, Iteration=22026.0156.4
Qwen2.5-VL-3B-Instruct (Base)Backbone=Qwen2.5-VL-3B-Instruct2026.0156.1
V-ZeroBackbone=Qwen2.5-VL-3B-Instruct, Iteration=12026.0154.7
GPT-4V2024.0649.7
MG-LLaVALLM=Yi1.5-34B, Params.=34.4B, Res.=336 (768)2024.0647.9
Qwen-VL-Plus2024.0639.7
MiniCPM-V2LLM=MiniCPM-2.4B, Params.=2.8B, Res.=4482024.0639.1
GeminiPro Vision2024.0638.6
Qwen-VL-ChatLLM=Qwen-7B, Params.=9.6B, Res.=4482024.0637.5
MG-LLaVALLM=LLaMA3-8B, Params.=8.4B, Res.=336 (768)2024.0636.9
MG-LLaVALLM=Phi3-3.8B, Params.=4.2B, Res.=336 (768)2024.0635.5
MG-LLaVALLM=Vicuna-7B, Params.=7.4B, Res.=336 (768)2024.0635.1
MG-LLaVALLM=Vicuna-13B, Params.=13.6B, Res.=336 (768)2024.0634.1
LLaVA-1.5LLM=Vicuna-13B, Params.=13.4B, Res.=3362024.0632.8
LLaVA-1.5LLM=Vicuna-7B, Params.=7.2B, Res.=3362024.0630.3