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General Image Understanding on MMStar

72.13AccuracyDPE
26.723638.511850.362.0882Mar 28, 2025Jun 13, 2025Aug 30, 2025Nov 16, 2025Feb 1, 2026Apr 20, 2026Jul 7, 2026

Evaluation results

MethodLinks
DPEBackbone=Qwen3-VL-8B-Instruct, Iteration=32026.0272.1364.39
Vanilla MoEBackbone=QWEN3-VL-30B-A3B-INSTRUCT2026.0472.1—
Vanilla MoEBackbone=INTERNVL3.5-30B-A3B2026.0472.03—
MACS (Ours)Backbone=QWEN3-VL-30B-A3B-INSTRUCT2026.0471.93—
MACS (Ours)Backbone=INTERNVL3.5-30B-A3B2026.0471.84—
MACS (w/o Expanded)Backbone=QWEN3-VL-30B-A3B-INSTRUCT2026.0471.48—
MACS (w/o Expanded)Backbone=INTERNVL3.5-30B-A3B2026.0471.36—
Qwen2.5-VL-72BParameters=72B2026.0270.861.9
CAI-MoE (Expanded)Backbone=QWEN3-VL-30B-A3B-INSTRUCT2026.0468.42—
Qwen2.5-VLParam Size=32B2026.0768.4—
CAI-MoE (Expanded)Backbone=INTERNVL3.5-30B-A3B2026.0467.91—
Claude4-Sonnet2026.0267.464.1
CAI-MoE (Token Drop)Backbone=QWEN3-VL-30B-A3B-INSTRUCT2026.0466.58—
GPT-4oParam Size=-2026.0765.7—
CAI-MoE (Token Drop)Backbone=INTERNVL3.5-30B-A3B2026.0465.47—
GPT-4o2026.0264.756.1
Hybrid-Frame StrategyBackbone=Qwen2.5-VL-7B, Frames=8F2026.0362.33—
Hybrid-Frame StrategyBackbone=Qwen2.5-VL-7B, Frames=16F2026.0362.33—
Hybrid-Frame StrategyBackbone=Qwen2.5-VL-7B, Frames=32F2026.0362.33—
Hybrid-Frame StrategyBackbone=Qwen2.5-VL-7B, Frames=64F2026.0362.33—
SaGe-7BParam Size=7B2026.0762.3—
Video-SFTBackbone=Qwen2.5-VL-7B, Frames=64F2026.0362.27—
Video-SFTBackbone=Qwen2.5-VL-7B, Frames=32F2026.0362.2—
Video-SFTBackbone=Qwen2.5-VL-7B, Frames=16F2026.0362—
Vision-R1Param Size=7B2026.0761.8—
LLaVA-OVParam Size=7B2026.0761.7—
Video-SFTBackbone=Qwen2.5-VL-7B, Frames=8F2026.0361.67—
GPT5-Mini2026.0261.353.8
Vanilla MoEBackbone=KIMI-VL-A3B-INSTRUCT2026.0461.25—
MACS (Ours)Backbone=KIMI-VL-A3B-INSTRUCT2026.0461.16—
LVRParam Size=7B2026.0761.1—
MACS (w/o Expanded)Backbone=KIMI-VL-A3B-INSTRUCT2026.0460.89—
Qwen2.5-VLParam Size=7B2026.0760.3—
DPA-Qwen3-32BTarget LLM=Qwen3-32B2026.0559.1—
CAI-MoE (Expanded)Backbone=KIMI-VL-A3B-INSTRUCT2026.0458.17—
LFM2-VL-3B# Total Params=3.0B, Evaluation Toolkit=VLMEvalKit2025.1157.73—
InternVL3.5-2B# Total Params=2.3B, Evaluation Toolkit=VLMEvalKit2025.1157.67—
CAI-MoE (Token Drop)Backbone=KIMI-VL-A3B-INSTRUCT2026.0456.83—
Qwen2.5-VL-3B# Total Params=3.75B, Evaluation Toolkit=VLMEvalKit2025.1156.13—
LLaVA-NeXT-Qwen3-32BTarget LLM=Qwen3-32B2026.0556.1—
SaGe-3BParam Size=3B2026.0754.4—
Qwen2.5-VLParam Size=3B2026.0752.2—
Cambrian-1-8BTarget LLM=Public Models2026.0550.9—
LLaVA-NeXT-Qwen3-4BTarget LLM=Qwen3-4B2026.0550.7—
DPA-Qwen3-4BTarget LLM=Qwen3-4B2026.0550.7—
InternVL3.5-1B# Total Params=1.1B2025.1150.27—
Kimi-VL-A3B-Instructk=6, Status=Default2025.1149.89—
LFM2-VL-1.6B# Total Params=1.6B2025.1149.87—
Idefics2-8BTarget LLM=Public Models2026.0549.4—
Qwen3-VL-2B# Total Params=2.1B, Evaluation Toolkit=VLMEvalKit2025.1149—
Qwen2-VL-2BTarget LLM=Public Models2026.0548—
MoDESSkip x% Experts=83%, rho=0.82025.1146.68—
SmolVLM2-2.2B# Total Params=2.2B, Evaluation Toolkit=VLMEvalKit2025.1146—
LLaVA-NeXT-LLaMA-3.2-3BTarget LLM=LLaMA-3.2-3B2026.0541—
LFM2-VL-450M# Total Params=0.45B2025.1140.87—
DPA-LLaMA-3.2-3BTarget LLM=LLaMA-3.2-3B2026.0540.7—
SmolVLM2-500M# Total Params=0.5B2025.1137.73—
LLaVA-NeXT-7BTarget LLM=Public Models2026.0537.7—
UnicornText-only=true, Pretrain Scale=1.2M2025.0335.13—
BunnyText-only=false, Pretrain Scale=1.2M2025.0334.73—
Unicorn*Text-only=true, Pretrain Scale=558K2025.0334.2—
LLaVA-1.5Text-only=false, Pretrain Scale=558K2025.0333.27—
Hybrid-Frame StrategyBackbone=LLaVA-1.5-7B, Note=Evaluated with a fixed 8-frame inference2026.0332.47—
LLaVA-1.5-7BTarget LLM=Public Models2026.0532.3—
Video-SFTBackbone=LLaVA-1.5-7B, Frames=32F2026.0329.4—
Video-SFTBackbone=LLaVA-1.5-7B, Frames=8F2026.0328.87—
Video-SFTBackbone=LLaVA-1.5-7B, Frames=16F2026.0328.47—