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Multimodal Understanding on MMMU (test)

69.6MMMU ScoreQwen3-VL
28.93639.49350.0560.607Mar 7, 2024Jul 5, 2024Nov 3, 2024Mar 3, 2025Jul 2, 2025Oct 30, 2025Feb 28, 2026

Evaluation results

MethodLinks
Qwen3-VLParams=8B, Types=AR, Architecture Category=Und. Only2025.1169.6————————
LLaVA-1.52025.0667.8————————
InternVL3Params=8B, Types=AR, Architecture Category=Und. Only2025.1162.7————————
MetaQuery-XL2025.0658.6————————
UniWorld-V12025.0658.6————————
Qwen2.5-VLParams=7B, Types=AR, Architecture Category=Und. Only2025.1158.6————————
MetaQuery-XLParams=7B+1.6B, Types=AR+Diff, Architecture Category=Uni. Frozen MLLM2025.1158.6————————
Blip3-oParams=7B+1.4B, Types=AR+Diff, Architecture Category=Uni. Frozen MLLM2025.1158.6————————
UniWorld-V1Params=7B+12B, Types=AR+Diff, Architecture Category=Uni. Frozen MLLM2025.1158.6————————
Qwen2.5-VL-7BParameters=7B2025.0858.6————————
GPT-4V2025.0856.8————————
InternVL2.5Params=8B, Types=AR, Architecture Category=Und. Only2025.1156.2————————
GPT-4V2024.0756.1————————
GPT-4V2024.0355.7—65.364.348.463.576.341.7—
GPT-4V(ision) (Playground)Input Type=Text + Image2026.0255.7—65.364.348.463.576.31.7—
BAGEL2025.0655.3————————
BAGELParams=7B+7B, Types=AR+Diff, Architecture Category=Uni. MoE/MoT Arch2025.1155.3————————
BAGELParams=14.0B2025.0955.3————————
Qwen2.5-VLParams=3B, Types=AR, Architecture Category=Und. Only2025.1153.1————————
OmniGen2Params=3B+4B, Types=AR+Diff, Architecture Category=Uni. Frozen MLLM2025.1153.1————————
MetaQuery-LParams=3.0B | 3.2B2025.0953.1————————
DIM-4.6B-T2I/EditParams=3.0B | 1.6B2025.0953.1————————
BAGEL2025.0852.8————————
Uni-CoT2025.0852.7————————
LLaVA-NeXT2025.0651.1————————
SenseChat-V2024.0750.3————————
Show-o2Params=7B, Types=AR+Diff, Architecture Category=Uni. Double Image Encoders / Training Objectives2025.1148.9————————
Show-o2-7BParams=7.0B2025.0948.9————————
LLaVA-OV2025.0648.8————————
VILA2-40BModel Scale=40B2024.0747.9————————
VILA1.5*Input Type=Text + Image2026.0246.9—2.140.67.751.7749.5—
Qwen-VL-MAX2024.0746.8————————
Qwen-VL-MAX*Input Type=Text + Image2026.0246.8—4.239.836.352.570.440.7—
InternVL-Chat-V1.2Version=V1.22024.0746.2————————
Mini-Gemini-HDSize=34B, # tokens per image=2880, Zero-shot=true2024.0544.9————————
LLaVA-NeXTSize=34B, # tokens per image=2880, Zero-shot=true2024.0544.7————————
LLaVA-1.62024.0744.7————————
LLaVA-1.6-34B*Input Type=Text + Image, Model Size=34B2026.0244.7—58.69.9361.20.236.3—
Marco-VL-Plus*2024.0744.3————————
Janus-Pro + AIA (Ours)Params=7B, Types=AR, Architecture Category=Uni. Double Image Encoders / Training Objectives2025.1142.1————————
OneCatParams=3B+3B+3B, Types=AR+VAR, Architecture Category=Uni. MoE/MoT Arch2025.1141.9————————
Yi-VL2024.0741.6————————
Yi-VL-34BParameters=34B2024.0341.6—56.133.332.945.966.536—
Yi-VL-34B*Input Type=Text + Image, Model Size=34B2026.0241.6—56.133.332.945.966.536—
Janus-ProParams=7B, Types=AR, Architecture Category=Uni. Double Image Encoders / Training Objectives2025.1141————————
Janus-Pro-7BParams=7.0B2025.0941————————
Qwen-VL-PLUS2024.0740.8————————
Qwen-VL-PLUS2024.0340.8—59.934.532.843.765.532.9—
Marco-VL-Plus*2024.0740.4————————
Marco-VL2024.0340.4—56.5313146.966.533.8—
MM1-ChatSize=30B, # tokens per image=720, Zero-shot=true2024.0540.3————————
Weitu-VL-1.0*Version=1.02024.0738.4————————
VILA2-8BModel Scale=8B2024.0738.3————————
InternLM-XComposer2-VL*Input Type=Text + Image2026.0238.2—56.832.830.139.860.731.8—
InternVL2.5-2BParameters=2B2025.0838.2————————
Idefics2Size=8B, # tokens per image=64, Zero-shot=true2024.0537.9————————
Idefics2Size=8B, # tokens per image=64, Zero-shot=true2024.0537.9————————
Yi-VL-6BParameters=6B2024.0337.8—53.430.33039.358.534.1—
Idefics2Size=8B, # tokens per image=320, Zero-shot=true2024.0537.7————————
Idefics2Size=8B, # tokens per image=320, Zero-shot=true2024.0537.7————————
Janus-Pro2025.0636.3————————
VanillaBase Model=LLaVA1.5-7B, Pruning Family=Baseline2026.0236.3———————100
VisionZipBase Model=LLaVA1.5-7B, Pruning Family=Vision Encoder-Side Pruning2026.0236.2———————99.7
PruMerge+Base Model=LLaVA1.5-7B, Pruning Family=Vision Encoder-Side Pruning2026.0235.8———————98.6
Emu3 + AIA (Ours)Params=8B, Types=AR, Architecture Category=Uni. Purely2025.1135.7————————
MM1-ChatSize=7B, # tokens per image=720, Zero-shot=true2024.0535.6————————
MM1-ChatSize=7B, # tokens per image=720, Zero-shot=true2024.0535.6————————
InfiMM-Zephyr2024.0735.5————————
InfMIM-Zephyr-7BParameters=7B, Backbone=Zephyr2024.0335.5—5029.628.237.554.631.1—
SparseVLMBase Model=LLaVA1.5-7B, Pruning Family=LLM Multi-Layer Pruning2026.0235.4———————97.6
SVIT2024.0734.1————————
Emu2-Chat2024.0734.1————————
SVIT2024.0334.1—48.92826.835.550.930.7—
Emu2-ChatMode=Chat2024.0334.1—50.627.72832.450.331.3—
RandomBase Model=LLaVA1.5-7B, Pruning Family=LLM Single-Layer Pruning2026.0234.1———————94
RandomBase Model=LLaVA1.5-7B, Pruning Family=LLM Multi-Layer Pruning2026.0234.1———————94
BLIP-2 FLAN-T5-XXLBackbone=FLAN-T5-XXL2024.0734————————
BLIP-2 FLAN-T5-XXLBackbone=FLAN-T5-XXL2024.0334—49.228.627.333.751.530.4—
FastVBase Model=LLaVA1.5-7B, Pruning Family=LLM Single-Layer Pruning2026.0234———————93.7
PoolingBase Model=LLaVA1.5-7B, Pruning Family=LLM Single-Layer Pruning2026.0234———————93.7
RandomBase Model=LLaVA1.5-7B, Pruning Family=Vision Encoder-Side Pruning2026.0234———————93.7
InstructBLIP-T5-XXLBackbone=T5-XXL2024.0733.8————————
InstructBLIP-T5-XXLBackbone=T5-XXL2024.0333.8—48.530.627.633.649.829.4—
InstructBLIP-T5-XXLInput Type=Text + Image2026.0233.8—48.530.627.633.649.829.4—
LLaVA-1.52024.0733.6————————
LLaVA-1.5-13BVersion=1.5, Parameters=13B2024.0333.6—49.828.225.934.954.728.3—
Qwen-VL-7B-ChatParameters=7B, Mode=Chat2024.0332.9—47.729.825.633.645.330.2—
SPHINX*2024.0332.9—50.927.225.334.151.227.8—
Qwen-VL-7B-ChatInput Type=Text + Image, Model Size=7B2026.0232.9—47.729.825.633.645.330.2—
Video-LLaVA2025.0632.8————————
VILA-UParams=7B, Types=AR, Architecture Category=Uni. Purely2025.1132.2————————
mPLUG-OWL22024.0332.1—48.525.624.932.846.729.6—
PoolingBase Model=LLaVA1.5-7B, Pruning Family=Vision Encoder-Side Pruning2026.0232.1———————88.4
Emu32025.0631.6————————
Emu3-ChatParams=8B, Types=AR, Architecture Category=Und. Only2025.1131.6————————
Emu3Params=8B, Types=AR, Architecture Category=Uni. Purely, re-implemented=true2025.1131.6————————
Emu3-GenParams=8.0B2025.0931.6————————
BLIP-2 FLAN-T5-XLBackbone=FLAN-T5-XL2024.0331—4325.625.131.84827.8—
InstructBLIP-T5-XLBackbone=T5-XL2024.0330.6—43.325.225.229.345.828.6—
Janus2025.0630.5————————