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Multimodal Understanding on MMBench English

88.79AccuracyQwen3-VL-235B
33.888448.141762.39576.6483May 23, 2024Sep 21, 2024Jan 21, 2025May 23, 2025Sep 22, 2025Jan 22, 2026May 24, 2026

Evaluation results

MethodLinks
Qwen3-VL-235BToken Retention Ratio=100%2026.0588.79——
Qwen-VL-2.5-7B-OursCategory=Our Models2026.0188.6——
VisionZipToken Retention Ratio=60%2026.0587.42——
F3AToken Retention Ratio=60%2026.0587.25——
DivPruneToken Retention Ratio=60%2026.0587.2——
CDPrunerToken Retention Ratio=60%2026.0586.94——
Qwen-VL-2.5-7B-GRPOCategory=Our Models2026.0186.8——
Video-R1-7BCategory=Open-source Reasoning Models2026.0186.5——
F3AToken Retention Ratio=40%2026.0586.34——
FastVToken Retention Ratio=60%2026.0586.33——
VisionZipToken Retention Ratio=40%2026.0586.33——
Qwen-VL-2.5-7BCategory=Our Models2026.0186.3——
R1-VL-7BCategory=Open-source Reasoning Models2026.0186.2——
DivPruneToken Retention Ratio=40%2026.0586.01——
CDPrunerToken Retention Ratio=40%2026.0585.84——
F3AToken Retention Ratio=20%2026.0585.33——
FastVToken Retention Ratio=40%2026.0585.02——
InternVL2.5-8BCategory=Open-source Base Models2026.0184.6——
Qwen-VL-2.5-7B-SFTCategory=Our Models2026.0183.9——
Vision-R1-7BCategory=Open-source Reasoning Models2026.0183.8——
CDPrunerToken Retention Ratio=20%2026.0583.72——
InternVL3.5-8BRatio=100%, Backbone=InternVL3.5-8B2026.0583.61——
GPT-4oCategory=Closed-source2026.0183.4——
F3ARatio=60%, Backbone=InternVL3.5-8B2026.0583.11——
VisionZipToken Retention Ratio=20%2026.0583.01——
DivPruneToken Retention Ratio=20%2026.0582.96——
VisionZipRatio=60%, Backbone=InternVL3.5-8B2026.0582.69——
F3ARatio=40%, Backbone=InternVL3.5-8B2026.0582.36——
R1-OneVision-7BCategory=Open-source Reasoning Models2026.0182.3——
DivPruneRatio=60%, Backbone=InternVL3.5-8B2026.0582.19——
CDPrunerRatio=60%, Backbone=InternVL3.5-8B2026.0582.17——
FastVRatio=60%, Backbone=InternVL3.5-8B2026.0582.02——
VisionZipRatio=40%, Backbone=InternVL3.5-8B2026.0581.85——
LLaVA-OneVision-7BCategory=Open-source Video Models2026.0181.7——
FastVToken Retention Ratio=20%2026.0581.55——
MiniCPM-V2.6-8BCategory=Open-source Base Models2026.0181.5——
CDPrunerRatio=40%, Backbone=InternVL3.5-8B2026.0581.34——
FastVRatio=40%, Backbone=InternVL3.5-8B2026.0581.1——
DivPruneRatio=40%, Backbone=InternVL3.5-8B2026.0581.1——
F3ARatio=20%, Backbone=InternVL3.5-8B2026.0579.6——
VisionZipRatio=20%, Backbone=InternVL3.5-8B2026.0578.85——
DivPruneRatio=20%, Backbone=InternVL3.5-8B2026.0578.18——
CDPrunerRatio=20%, Backbone=InternVL3.5-8B2026.0577.98——
FastVRatio=20%, Backbone=InternVL3.5-8B2026.0577——
Gemini-1.5-ProCategory=Closed-source2026.0173.9——
AlignGPTLLM=Vicuna-13B, Resolution=3362024.0569.5——
LBRBackbone=LLaVA-NEXT-3B2026.0569.4——
LLaVA-NEXT-3BBackbone=LLaVA-NEXT-3B2026.0569.2——
LLaVA-NeXT-7BVisual tokens retained=Full, Pruning ratio=0%, Base Model=LLaVA-NeXT-7B2026.0367.9—100
LLaVA-1.5LLM=Vicuna-13B, Resolution=3362024.0567.7——
AlignGPTLLM=Vicuna-7B, Resolution=3362024.0567.3——
LBRBackbone=LLaVA-1.5-13B2026.0567.3——
LLaVA-1.5-13BBackbone=LLaVA-1.5-13B2026.0567.1——
ResPruneVisual tokens retained=640, Pruning ratio=66.7%, Base Model=LLaVA-NeXT-7B2026.0366.6—99.6
VisionZIPVisual tokens retained=640, Pruning ratio=66.7%, Base Model=LLaVA-NeXT-7B2026.0366.3—98.1
SparseVLMVisual tokens retained=640, Pruning ratio=66.7%, Base Model=LLaVA-NeXT-7B2026.0365.9—96.9
LLaMA3.2-11BCategory=Open-source Base Models2026.0165.8——
DivPruneVisual tokens retained=640, Pruning ratio=66.7%, Base Model=LLaVA-NeXT-7B2026.0365.8—97.2
LBRBackbone=LLaVA-1.5-7B2026.0565.3——
DARTVisual tokens retained=640, Pruning ratio=66.7%, Base Model=LLaVA-NeXT-7B2026.0364.9—97.5
ResPruneVisual tokens retained=320, Pruning ratio=88.9%, Base Model=LLaVA-NeXT-7B2026.0364.9—98.1
LLaVA-1.5-7BBackbone=LLaVA-1.5-7B2026.0564.9——
PruMergeVisual tokens retained=640, Pruning ratio=66.7%, Base Model=LLaVA-NeXT-7B2026.0364.6—96.6
LLaVA-1.5LLM=Vicuna-7B, Resolution=3362024.0564.3——
DARTVisual tokens retained=320, Pruning ratio=88.9%, Base Model=LLaVA-NeXT-7B2026.0364.2—94.8
PDropVisual tokens retained=640, Pruning ratio=66.7%, Base Model=LLaVA-NeXT-7B2026.0364.1—95.7
DivPruneVisual tokens retained=320, Pruning ratio=88.9%, Base Model=LLaVA-NeXT-7B2026.0363.9—96.6
FastVVisual tokens retained=640, Pruning ratio=66.7%, Base Model=LLaVA-NeXT-7B2026.0363.1—94.7
SparseVLMVisual tokens retained=320, Pruning ratio=88.9%, Base Model=LLaVA-NeXT-7B2026.0363.1—93.1
VisionZIPVisual tokens retained=320, Pruning ratio=88.9%, Base Model=LLaVA-NeXT-7B2026.0363.1—95
PruMergeVisual tokens retained=320, Pruning ratio=88.9%, Base Model=LLaVA-NeXT-7B2026.0363—94.1
Qwen-VL-ChatLLM=Qwen-7B, Resolution=4482024.0560.6——
ShikraLLM=Vicuna-13B, Resolution=2242024.0558.8——
VILA-1.5-8BCategory=Open-source Video Models2026.0157.6——
PDropVisual tokens retained=320, Pruning ratio=88.9%, Base Model=LLaVA-NeXT-7B2026.0355.5—83.5
IDEFICS-80BLLM=LLaMA-65B, Resolution=2242024.0554.5——
FastVVisual tokens retained=320, Pruning ratio=88.9%, Base Model=LLaVA-NeXT-7B2026.0353.4—80.7
IDEFICS-9BLLM=LLaMA-7B, Resolution=2242024.0548.2——
MiniGPT-v2LLM=LLaMA2-7B, Resolution=4482024.0543.1——
Qwen-VLLLM=Qwen-7B, Resolution=4482024.0538.2——
InstructBLIPLLM=Vicuna-7B, Resolution=2242024.0536——
BAGELType=Native Unified, # Params.=14B2026.05—85—
BAGEL# Params.=14B2026.06—85—
BLIP3-oType=Composite Unified, # Params.=8B2026.05—75.5—
CDPrunerBackbone=LLaVA-1.5-13B, Retained Tokens=192, Pruning Ratio=66.7%2026.02—67.2—
CDPrunerBackbone=LLaVA-1.5-13B, Retained Tokens=128, Pruning Ratio=77.8%2026.02—67.5—
CDPrunerBackbone=LLaVA-1.5-13B, Retained Tokens=64, Pruning Ratio=88.9%2026.02—65.5—
CDPrunerBackbone=LLaVA-NeXT-13B, Retained Tokens=960, Pruning Ratio=66.7%2026.02—69.2—
CDPrunerBackbone=LLaVA-NeXT-13B, Retained Tokens=640, Pruning Ratio=77.8%2026.02—68.9—
CDPrunerBackbone=LLaVA-NeXT-13B, Retained Tokens=320, Pruning Ratio=88.9%2026.02—66.8—
CogVLM-17BLLM=Vicuna-7B2024.04—65.8—
DivPruneBackbone=LLaVA-1.5-13B, Retained Tokens=128, Pruning Ratio=77.8%2026.02—66.3—
DivPruneBackbone=LLaVA-1.5-13B, Retained Tokens=64, Pruning Ratio=88.9%2026.02—64.1—
DivPruneBackbone=LLaVA-NeXT-13B, Retained Tokens=640, Pruning Ratio=77.8%2026.02—67.5—
DivPruneBackbone=LLaVA-NeXT-13B, Retained Tokens=320, Pruning Ratio=88.9%2026.02—65.9—
Emu3Type=Native Unified, # Params.=8B2026.05—58.5—
Emu3# Params.=8B2026.06—58.5—
FastVBackbone=LLaVA-1.5-13B, Retained Tokens=128, Pruning Ratio=77.8%2026.02—66.1—
FastVBackbone=LLaVA-1.5-13B, Retained Tokens=64, Pruning Ratio=88.9%2026.02—59.2—
FastVBackbone=LLaVA-NeXT-13B, Retained Tokens=640, Pruning Ratio=77.8%2026.02—65.5—