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Multimodal Understanding on SEED Benchmark (test)

73.8Avg Score (All)MetaQuery-L
31.05642.15353.2564.347Aug 22, 2024Oct 23, 2024Dec 25, 2024Feb 26, 2025Apr 29, 2025Jul 1, 2025Sep 2, 2025

Evaluation results

MethodLinks
MetaQuery-LParams=3.0B | 3.2B2025.0973.8——
DIM-4.6B-T2I/EditParams=3.0B | 1.6B2025.0973.8——
Janus-Pro-7BParams=7.0B2025.0972.1——
Show-o2-7BParams=7.0B2025.0969.8——
Emu3-GenParams=8.0B2025.0968.2——
JanusParams=1.3B2025.0963.7——
MaVEnVision Encoder=ViT-L + SEED (1.3B), Language Model=Vicuna (7B), zero-shot=true2024.0860.8965.8542.11
LLaVA-1.5Vision Encoder=ViT-L, Language Model=Vicuna (7B), zero-shot=true2024.0858.666.137.3
InstructBLIPVision Encoder=ViT-g (1.3B), Language Model=Vicuna (7B), zero-shot=true2024.0853.458.838.1
BLIP-2Vision Encoder=ViT-g (1.3B), Language Model=Vicuna (7B), zero-shot=true2024.0846.449.736.7
MiniGPT-4Vision Encoder=ViT-g (1.3B), Language Model=Vicuna (7B), zero-shot=true2024.0842.847.429.9
mPLUG-OwlVision Encoder=ViT-L (0.3B), Language Model=LLaMA (7B), zero-shot=true2024.083437.923
OtterVision Encoder=ViT-L (0.3B), Language Model=LLAMA (7B), zero-shot=true2024.0833.935.230.4
LLaVAVision Encoder=ViT-L (0.3B), Language Model=Vicuna (7B), zero-shot=true2024.0833.53723.8
LLaMA-Adapter-v2Vision Encoder=ViT-L (0.3B), Language Model=LLaMA (7B), zero-shot=true2024.0832.735.225.8