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Visual Question Answering on TextVQA (Accuracy, Retention)

88.7AccuracyKimi-VL-A3B-Instruct
39.352.12564.9577.775Nov 19, 2025Dec 9, 2025Dec 30, 2025Jan 20, 2026Feb 10, 2026Mar 3, 2026Mar 24, 2026

Evaluation results

MethodLinks
Kimi-VL-A3B-Instructk=6, Status=Default2025.1188.7—
MoDESSkip x% Experts=50%, rho=0.482025.1188.18—
DiEPSkip x% Experts=50%, rho=0.482025.1187.43—
MC-MoESkip x% Experts=50%, rho=0.482025.1186.28—
NAEESkip x% Experts=50%, rho=0.482025.1186.14—
MoDESSkip x% Experts=67%, rho=0.652025.1185.57—
Top-k Skippingk=3, Skip x% Experts=50%, rho=0.482025.1185.41—
MC-MoESkip x% Experts=67%, rho=0.652025.1185.07—
DiEPSkip x% Experts=67%, rho=0.652025.1184.21—
Top-k Skippingk=2, Skip x% Experts=67%, rho=0.652025.1183.49—
NAEESkip x% Experts=67%, rho=0.652025.1182.84—
MoDESSkip x% Experts=83%, rho=0.82025.1182.38—
DiEPSkip x% Experts=83%, rho=0.82025.1182.32—
Qwen2-VL 7BBackbone=Qwen2-VL 7B, Sparsity Level=0%, Pruning Method=Dense, Pruning Type=None2026.0382.02100
MC-MoESkip x% Experts=83%, rho=0.82025.1179.41—
SparseGPTBackbone=Qwen2-VL 7B, Sparsity Level=60%, Pruning Method=SparseGPT, Pruning Type=unstructured, uniform pruning2026.0378.5185.3
BLIP3o-4BType=Und. and Gen. > 2B, # Total Params=7.1B2026.0278—
TAMPBackbone=Qwen2-VL 7B, Sparsity Level=60%, Pruning Method=TAMP, Pruning Type=unstructured, uniform pruning2026.0377.2483.79
Top-k Skippingk=1, Skip x% Experts=83%, rho=0.82025.1177.17—
ATV-PruningBackbone=Qwen2-VL 7B, Sparsity Level=60%, Pruning Method=ATV-Pruning, Pruning Type=unstructured, uniform pruning2026.0376.9685.65
WandaBackbone=Qwen2-VL 7B, Sparsity Level=60%, Pruning Method=Wanda, Pruning Type=unstructured, uniform pruning2026.0375.7677.78
NAEESkip x% Experts=83%, rho=0.82025.1175.73—
FastVLM-0.5BType=Und. Only ≤ 1B, # Total Params=0.6B2026.0268—
Mobile-O-0.5BType=Und. and Gen. ≤ 2B, # Total Params=1.6B2026.0267.8—
VISORFLOPs Savings=8.6×2026.0367.8—
VISOR-TRFLOPs Savings=18×2026.0367.4—
M³FLOPs Savings=8.0×2026.0367—
LLaVA-OVFLOPs Savings=1.0×2026.0366—
LLaVA-NeXT 8BBackbone=LLaVA-NeXT 8B, Sparsity Level=0%, Pruning Method=Dense, Pruning Type=None2026.0365.42100
EMU3-8BType=Und. and Gen. > 2B, # Total Params=9.0B2026.0264.7—
SparseGPTBackbone=LLaVA-NeXT 8B, Sparsity Level=50%, Pruning Method=SparseGPT, Pruning Type=unstructured, uniform pruning2026.0364.2191.74
WandaBackbone=LLaVA-NeXT 8B, Sparsity Level=50%, Pruning Method=Wanda, Pruning Type=unstructured, uniform pruning2026.0364.0488.36
TAMPBackbone=LLaVA-NeXT 8B, Sparsity Level=50%, Pruning Method=TAMP, Pruning Type=unstructured, uniform pruning2026.0362.7892.67
ATV-PruningBackbone=LLaVA-NeXT 8B, Sparsity Level=50%, Pruning Method=ATV-Pruning, Pruning Type=unstructured, uniform pruning2026.0362.7694
SparseVLMFLOPs Savings=4.5×2026.0362.7—
VanillaBackbone=LLaVA-NeXT-7B, Token Retention=2880, Reduction Ratio=100%2026.0261.3—
SparseGPTBackbone=LLaVA-NeXT 8B, Sparsity Level=60%, Pruning Method=SparseGPT, Pruning Type=unstructured, uniform pruning2026.0361.0676.24
Smol-VLM-0.5BType=Und. Only ≤ 1B, # Total Params=0.6B2026.0260.2—
VisionZipBackbone=LLaVA-NeXT-7B, Token Retention=640, Reduction Ratio=77.8%2026.0260.2—
LLaVA-NeXT-7B (Upper Bound)Backbone=LLaVA-NeXT-7B, Tokens Kept=2880, Pruning Ratio=0.0%2025.1259.6100
FlashVLMBackbone=LLaVA-NeXT-7B, Tokens Kept=640, Pruning Ratio=77.8%2025.1259.499.12
VisPrunerBackbone=LLaVA-NeXT-7B, Tokens Kept=640, Pruning Ratio=77.8%2025.1259.398.6
VisionZipBackbone=LLaVA-NeXT-7B, Token Retention=320, Reduction Ratio=88.9%2026.0258.9—
SparseVLMBackbone=LLaVA-NeXT-7B, Token Retention=320, Reduction Ratio=88.9%2026.0258.8—
DUET-VLM (C+S)Visual Token Budget=Avg 192 Tokens2026.0258.5—
FastVBackbone=LLaVA-NeXT-7B, Tokens Kept=640, Pruning Ratio=77.8%2025.1258.497
DUET-VLM (C)Visual Token Budget=Avg 128 Tokens2026.0258.4—
DUET-VLM (C+all)Visual Token Budget=Avg 128 Tokens2026.0258.4—
DownsampleFLOPs Savings=4.0×2026.0358.4—
VisionZipBackbone=LLaVA-NeXT-7B, Tokens Kept=640, Pruning Ratio=77.8%2025.1258.396.7
FlashVLMBackbone=LLaVA-NeXT-7B, Tokens Kept=320, Pruning Ratio=88.9%2025.1258.294.61
LLaVA-1.5-7BVisual Token Budget=Total 576 Tokens2026.0258.2—
DUET-VLM (C)Visual Token Budget=Avg 192 Tokens2026.0258.2—
DUET-VLM (C+S)Visual Token Budget=Avg 128 Tokens2026.0258.1—
ApETBackbone=LLaVA-NeXT-7B, Token Retention=640, Reduction Ratio=77.8%2026.0257.9—
SparseVLMBackbone=LLaVA-NeXT-7B, Token Retention=640, Reduction Ratio=77.8%2026.0257.8—
VisionZipVisual Token Budget=Avg 192 Tokens2026.0257.8—
DUET-VLM (C+all)Visual Token Budget=Avg 192 Tokens2026.0257.7—
VisPrunerBackbone=LLaVA-NeXT-7B, Tokens Kept=320, Pruning Ratio=88.9%2025.1257.693.3
DUET-VLM (C+all)Visual Token Budget=Avg 64 Tokens2026.0257.6—
PDropBackbone=LLaVA-NeXT-7B, Token Retention=640, Reduction Ratio=77.8%2026.0257.4—
DUET-VLM (C)Visual Token Budget=Avg 64 Tokens2026.0257.2—
VisionZipVisual Token Budget=Avg 128 Tokens2026.0257.1—
DUET-VLM (C+S)Visual Token Budget=Avg 64 Tokens2026.0257.1—
HiREDFLOPs Savings=5.0×2026.0356.8—
FlashVLMBackbone=LLaVA-NeXT-7B, Tokens Kept=160, Pruning Ratio=94.4%2025.1256.788.03
TAMPBackbone=LLaVA-NeXT 8B, Sparsity Level=60%, Pruning Method=TAMP, Pruning Type=unstructured, uniform pruning2026.0356.3673.75
VisionZipBackbone=LLaVA-NeXT-7B, Token Retention=160, Reduction Ratio=94.4%2026.0256.2—
SparseVLMBackbone=LLaVA-NeXT-7B, Tokens Kept=640, Pruning Ratio=77.8%2025.1256.294.9
VisPrunerBackbone=LLaVA-NeXT-7B, Tokens Kept=160, Pruning Ratio=94.4%2025.125686.7
VisionZipVisual Token Budget=Avg 64 Tokens2026.0256—
ATV-PruningBackbone=LLaVA-NeXT 8B, Sparsity Level=60%, Pruning Method=ATV-Pruning, Pruning Type=unstructured, uniform pruning2026.0355.8377.01
FastVBackbone=LLaVA-NeXT-7B, Tokens Kept=320, Pruning Ratio=88.9%2025.1255.787.7
VisionZip†FLOPs Savings=5.7×2026.0355.7—
JanusFlowType=Und. and Gen. ≤ 2B, # Total Params=2.1B2026.0255.5—
PDropBackbone=LLaVA-NeXT-7B, Token Retention=320, Reduction Ratio=88.9%2026.0254.4—
ApETBackbone=LLaVA-NeXT-7B, Token Retention=320, Reduction Ratio=88.9%2026.0254.4—
WandaBackbone=LLaVA-NeXT 8B, Sparsity Level=60%, Pruning Method=Wanda, Pruning Type=unstructured, uniform pruning2026.0354.3764.45
ApETBackbone=LLaVA-NeXT-7B, Token Retention=160, Reduction Ratio=94.4%2026.0253.8—
VisionZipBackbone=LLaVA-NeXT-7B, Tokens Kept=320, Pruning Ratio=88.9%2025.1253.290.5
PDropBackbone=LLaVA-NeXT-7B, Token Retention=160, Reduction Ratio=94.4%2026.0252.7—
VisionZipBackbone=LLaVA-NeXT-7B, Tokens Kept=160, Pruning Ratio=94.4%2025.1252.782.3
SparseVLMBackbone=LLaVA-NeXT-7B, Tokens Kept=320, Pruning Ratio=88.9%2025.1252.487.9
MobileVLM-V2Type=Und. Only > 1B, # Total Params=1.7B2026.0252.1—
FastVBackbone=LLaVA-NeXT-7B, Tokens Kept=160, Pruning Ratio=94.4%2025.1251.974.7
JanusType=Und. and Gen. ≤ 2B, # Total Params=2.1B2026.0250.2—
LLaVA-PhiType=Und. Only > 1B, # Total Params=3.1B2026.0248.6—
VisPrunerFLOPs Savings=5.7×2026.0347.8—
VisionZipFLOPs Savings=5.7×2026.0346.5—
SparseVLMBackbone=LLaVA-NeXT-7B, Token Retention=160, Reduction Ratio=94.4%2026.0246.4—
PyramidDropFLOPs Savings=4.2×2026.0345.5—
SparseVLMBackbone=LLaVA-NeXT-7B, Tokens Kept=160, Pruning Ratio=94.4%2025.1245.174.5
MobileVLMType=Und. Only > 1B, # Total Params=1.7B2026.0241.5—
Show-o-Clip-ViTType=Und. and Gen. ≤ 2B, # Total Params=1.6B2026.0241.2—