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Multi-modal Evaluation on MME (test)

1,666Perception ScoreMini-Gemini
1,194.881,317.191,439.51,561.81Mar 27, 2024Jul 19, 2024Nov 11, 2024Mar 5, 2025Jun 28, 2025Oct 20, 2025Feb 12, 2026

Evaluation results

MethodLinks
Mini-GeminiLLM=Hermes-2-Yi-34B, Resolution=336, Zero-shot=true2024.031,666439—————
Mini-Gemini-HDLLM=Hermes-2-Yi-34B, Resolution=672, Zero-shot=true2024.031,659482—————
Mini-GeminiLLM=Mixtral-8x7B, Resolution=336, Zero-shot=true2024.031,639379—————
Mini-Gemini-HDLLM=Mixtral-8x7B, Resolution=672, Zero-shot=true2024.031,633356—————
LLaVA-NeXTLLM=Hermes-2-Yi-34B, Resolution=672, Zero-shot=true2024.031,631397—————
Mini-Gemini-HDLLM=Vicuna-13B, Resolution=672, Zero-shot=true2024.031,597320—————
LLaVA-NeXTLLM=Vicuna-13B, Resolution=672, Zero-shot=true2024.031,575326—————
Mini-GeminiLLM=Vicuna-13B, Resolution=336, Zero-shot=true2024.031,565322—————
Mini-Gemini-HDLLM=Vicuna-7B, Resolution=672, Zero-shot=true2024.031,546319—————
LLaMA-VIDLLM=Vicuna-13B, Resolution=336, Zero-shot=true2024.031,542——————
LLaVA-1.5LLM=Vicuna-13B, Resolution=336, Zero-shot=true2024.031,531295—————
Mini-GeminiLLM=Vicuna-7B, Resolution=336, Zero-shot=true2024.031,523316—————
LLaMA-VIDLLM=Vicuna-7B, Resolution=336, Zero-shot=true2024.031,521——————
LLaVA-NeXTLLM=Vicuna-7B, Resolution=672, Zero-shot=true2024.031,519332—————
ScalSelectSelection Budget=300K2026.021,517.26290—————
LLaVA-1.5LLM=Vicuna-7B, Resolution=336, Zero-shot=true2024.031,511——————
Qwen-VL-ChatLLM=Qwen-7B, Resolution=448, Zero-shot=true2024.031,488——————
Full-FinetuneSelection Budget=625K (Full)2026.021,463.87278.57—————
ScalSelectSelection Budget=200K2026.021,435.79298.93—————
ScalSelectSelection Budget=400K2026.021,425.41299.29—————
COINCIDESelection Budget=100K2026.021,422.01274.29—————
RandomSelection Budget=100K2026.021,418.85295.36—————
RDS+Selection Budget=100K2026.021,414.66302.85—————
PerplexitySelection Budget=100K2026.021,403.08278.93—————
ScalSelectSelection Budget=100K2026.021,400.34308.57—————
PRISMSelection Budget=100K2026.021,396.24276.43—————
Mini-GeminiLLM=Gemma-2B, Resolution=336, Zero-shot=true2024.031,341312—————
OtterHDLLM=Fuyu-8B, Resolution=1024, Zero-shot=true2024.031,314——————
MobileVLMLLM=MiLAMA 2.7B, Resolution=336, Zero-shot=true2024.031,289——————
LengthSelection Budget=100K2026.021,282.97292.14—————
ScalSelectSelection Budget=50K2026.021,282.22314.29—————
InstructBLIPLLM=Vicuna-13B, Resolution=224, Zero-shot=true2024.031,213——————
DARTBackbone=InternVL3-38B, ViT token retention rate=100%, LLM token retention rate=5%2025.12——1,916——73.60.715
DART (ViT)Backbone=InternVL3-38B, ViT token retention rate=40%, LLM token retention rate=40%2025.12——2,198——88.10.639
FastVBase Model=LLaVA1.5-7B, Pruning Family=LLM Single-Layer Pruning2026.02——1,2550.674———
FastVBackbone=InternVL3-38B, ViT token retention rate=100%, LLM token retention rate=5%2025.12——1,977——78.60.707
InstructBLIPNumber of Parameters=13B2024.05——1,212.8————
IPCV+FastVBackbone=InternVL3-38B, ViT token retention rate=40%, LLM token retention rate=40%2025.12——2,364——89.90.644
IVM-Enhanced LLaVA-7BNumber of Parameters=14B2024.05——1,806————
LISA-Enhanced LLaVA-7BNumber of Parameters=20B2024.05——1,560————
LLaVA-13BNumber of Parameters=13B2024.05——1,834————
LLaVA-7BNumber of Parameters=7B2024.05——1,748————
PDropBase Model=LLaVA1.5-7B, Pruning Family=LLM Multi-Layer Pruning2026.02——1,0920.586———
PoolingBase Model=LLaVA1.5-7B, Pruning Family=LLM Single-Layer Pruning2026.02——1,3800.741———
PoolingBase Model=LLaVA1.5-7B, Pruning Family=Vision Encoder-Side Pruning2026.02——1,1510.618———
PruMerge+Base Model=LLaVA1.5-7B, Pruning Family=Vision Encoder-Side Pruning2026.02——1,6160.868———
RandomBase Model=LLaVA1.5-7B, Pruning Family=LLM Single-Layer Pruning2026.02——1,3510.726———
RandomBase Model=LLaVA1.5-7B, Pruning Family=LLM Multi-Layer Pruning2026.02——1,3420.721———
RandomBase Model=LLaVA1.5-7B, Pruning Family=Vision Encoder-Side Pruning2026.02——1,4100.757———
SEAL-7BNumber of Parameters=7B2024.05——1,129————
SparseVLMBase Model=LLaVA1.5-7B, Pruning Family=LLM Multi-Layer Pruning2026.02——1,5890.853———
SparseVLMBackbone=InternVL3-38B, ViT token retention rate=100%, LLM token retention rate=5%2025.12——1,916——75.10.734
ToFuBackbone=InternVL3-38B, ViT token retention rate=40%, LLM token retention rate=40%2025.12——2,074——83.40.619
ToMeBackbone=InternVL3-38B, ViT token retention rate=40%, LLM token retention rate=40%2025.12——2,092——82.70.617
V^2DropBackbone=InternVL3-38B, ViT token retention rate=100%, LLM token retention rate=5%2025.12——1,697——57.10.705
VanillaBase Model=LLaVA1.5-7B, Pruning Family=Baseline2026.02——1,8621———
VanillaBackbone=InternVL3-38B, ViT token retention rate=100%, LLM token retention rate=100%2025.12——2,467——1001
VisionZipBase Model=LLaVA1.5-7B, Pruning Family=Vision Encoder-Side Pruning2026.02——1,6900.908———