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Optical Character Recognition on OCRBench

922ScoreRouting
700.48757.99815.5873.01Mar 18, 2025Jun 4, 2025Aug 22, 2025Nov 8, 2025Jan 26, 2026Apr 14, 2026Jul 2, 2026

Evaluation results

MethodLinks
RoutingEvaluation Strategy=Adaptive Routing, Aggregation Method=Best Model, Backbone=Qwen2.5VL-72B2025.04922————8.2———————————
RoutingEvaluation Strategy=Adaptive Routing, Aggregation Method=Average2025.04907————6.5———————————
Qwen3-VL-8BModel Category=Open-source General Models2025.11906————————————————
BasePruning Ratio=100%, Base Model=Qwen3-VL-8B, Zero-shot evaluation=True2026.05903————————————————
Qwen3-VLModel Size=8B2026.03896————————————————
SingleEvaluation Strategy=Single model, Aggregation Method=Best Model, Backbone=Qwen2VL-72B2025.04888————————————————
LLaVA-OV-7BModel Size=7B2026.02882————————————————
DeepEyesV2Tool=General, Param Size=7B2025.11882————————————————
Gemini 2.5 ProTool=Code, Param Size=-2025.11881————————————————
InternVL3-8BModel Size=8B2026.02880————————————————
InternVL3Tool=✗, Param Size=8B2025.11880————————————————
Qianfan-OCR2026.03880————————————————
InternVL3-8BModel Category=Open-source General Models2025.11880————————————————
SC@3Evaluation Strategy=Self-Consistency (3 samples), Aggregation Method=Best Model, Backbone=Qwen2VL-72B2025.04875————2.7———————————
Qwen3-VL-4BParameters=4B2026.03873————————————————
DeFacto (Ours)Backbone=Qwen2.5-VL-7B2025.09871————————————————
Qwen3-VL-2B# Total Params=2.1B, Evaluation Toolkit=VLMEvalKit2025.11864————————————————
QwenVL2.5-7BModel Size=7B2026.02864————————————————
Qwen2.5-VLTool=✗, Param Size=7B2025.11864————————————————
ThymeTool=Code, Param Size=7B2025.11863————————————————
SenseNova-SIBase Architecture=Qwen3-VL-8B, Model Category=Ours2025.11863————————————————
Qwen3-VLParameters=2B2026.03858————————————————
Robobrain-2.0-7BModel Size=7B2026.02857————————————————
Qwen3-VL-2BParameters=2B2026.03856————————————————
VST-7B-SFTModel Category=Open-source SI Models2025.11855————————————————
Qwen3-VL-8BRetained Tokens=1024 Tokens (100%)2026.07855————————————————
InternVL3-2BModel Category=Open-source General Models2025.11853————————————————
Penguin-VLModel Size=8B2026.03852————————————————
SingleEvaluation Strategy=Single model, Aggregation Method=Average2025.04852————————————————
FP16Model=MiniCPM-V-2.6-8B, Spiking=false, Time Step=N/A2026.04850————————————————
InternVL-3.5Model Size=8B2026.03840————————————————
InternVL3.5Parameters=2B2026.03836————————————————
InternVL3-2BModel Size=2B2026.02835————————————————
FP16Model=Qwen2VL-7B, Spiking=false, Time Step=N/A2026.04835————————————————
InternVL3.5-2B# Total Params=2.3B, Evaluation Toolkit=VLMEvalKit2025.11834————————————————
RoboInter-Qwen-7BModel Size=7B, Backbone=Qwen2026.02832————————————————
SpikeMLLM(QuaRot+MSTS+TC-LIF)Model=MiniCPM-V-2.6-8B, Spiking=true, Time Step=3/42026.04829————————————————
VanillaBackbone=Qwen3-VL-30B-A3B, Pruning Ratio=100%2026.05829————————————————
NGMModel=Qwen3-VL-2B2026.05829————————————————
SC@3Evaluation Strategy=Self-Consistency (3 samples), Aggregation Method=Average2025.04828————-2.8———————————
SpikeMLLM(QuaRot)Model=MiniCPM-V-2.6-8B, Spiking=true, Time Step=152026.04828————————————————
Q2.5VL-7BTokens Retained Percentage=100%2025.03827————————————————
SpikeMLLM(GPTQ)Model=MiniCPM-V-2.6-8B, Spiking=true, Time Step=2552026.04827————————————————
Qwen3-VL-2BModel=Qwen3-VL-2B2026.05826————————————————
TwigVLM++Tokens Retained Percentage=33.3%2025.03825————————————————
Qwen2.5-VL-3B# Total Params=3.75B, Evaluation Toolkit=VLMEvalKit2025.11824————————————————
SpikeMLLM(QuaRot+MSTS+TC-LIF)Model=Qwen2VL-7B, Spiking=true, Time Step=3/42026.04823————————————————
LFM2-VL-3B# Total Params=3.0B, Evaluation Toolkit=VLMEvalKit2025.11822————————————————
GPT-4oTool=Code, Param Size=-2025.11822————————————————
VisionZipBackbone=Qwen3-VL-30B-A3B, Pruning Ratio=70%2026.05819————————————————
SenseNova-SIBase Architecture=InternVL3-2B, Model Category=Ours2025.11817————————————————
LaVerVisual Encoder Model=Qwen-ViT2025.12815————————————————
SenseNova-SIBase Architecture=InternVL3-8B, Model Category=Ours2025.11815————————————————
BaselineVisual Encoder Model=Qwen-ViT2025.12813————————————————
TwigVLM++Tokens Retained Percentage=22.2%2025.03813————————————————
Robobrain-2.0-3BModel Size=3B2026.02811————————————————
Bagel-7B-MoTModel Category=Open-source General Models2025.11811————————————————
Penguin-VLParameters=2B2026.03810————————————————
SpikeMLLM(RTN)Model=MiniCPM-V-2.6-8B, Spiking=true, Time Step=2552026.04810————————————————
VanillaBackbone=DeepSeek-VL2, Pruning Ratio=100%2026.05803————————————————
VisMMOEBackbone=Qwen3-VL-30B-A3B, Pruning Ratio=70%2026.05801————————————————
ERASEPruning Ratio=-65.11%, Base Model=Qwen3-VL-8B, Zero-shot evaluation=True2026.05800————————————————
InternVL3-1BModel Size=1B2026.02798————————————————
QwenVL2.5-3BModel Size=3B2026.02797————————————————
SenseNova-SIBase Architecture=Bagel-7B-MoT, Model Category=Ours2025.11797————————————————
FP16Model=InternVL2-8B, Spiking=false, Time Step=N/A2026.04795————————————————
MixBackbone=Qwen3-VL-30B-A3B, Pruning Ratio=70%2026.05793————————————————
SpikeMLLM(QuaRot)Model=Qwen2VL-7B, Spiking=true, Time Step=152026.04792————————————————
SpikeMLLM(QuaRot+MSTS+TC-LIF)Model=InternVL2-8B, Spiking=true, Time Step=3/42026.04791————————————————
InternVL3.5-1B# Total Params=1.1B2025.11790————————————————
RoboInter-Qwen-3BModel Size=3B, Backbone=Qwen2026.02787————————————————
VisionZipBackbone=DeepSeek-VL2, Pruning Ratio=70%2026.05780————————————————
TwigVLM++Tokens Retained Percentage=11.1%2025.03772————————————————
SpikeMLLM(QuaRot)Model=InternVL2-8B, Spiking=true, Time Step=152026.04772————————————————
VisMMOEBackbone=DeepSeek-VL2, Pruning Ratio=70%2026.05771————————————————
IVC-PrunePruning Ratio=-65.11%, Base Model=Qwen3-VL-8B, Zero-shot evaluation=True2026.05766————————————————
MixBackbone=DeepSeek-VL2, Pruning Ratio=70%2026.05761————————————————
ERASEPruning Ratio=-72.77%, Base Model=Qwen3-VL-8B, Zero-shot evaluation=True2026.05761————————————————
SpikeMLLM(GPTQ)Model=Qwen2VL-7B, Spiking=true, Time Step=2552026.04760————————————————
InternViT-2.5-6BBase LLM=Qwen2.5-7B, Size=6.0B, AnyRes=false, Discrete=false2026.06757————————————————
InternViT-2.5-6BBase LLM=Qwen2.5 - 7B, Size=6.0B, AnyRes=false, Discrete=false2026.06757————————————————
Gemini-1.5-Pro2025.09754————————————————
iLLaVAPruning Ratio=-65.11%, Base Model=Qwen3-VL-8B, Zero-shot evaluation=True2026.05752————————————————
Qwen2.5-VL-VIFParams=7B, Base model=Qwen-2.5-VL2026.05747————————————————
TwigVLMTokens Retained Percentage=33.3%2025.03744————————————————
VisionZipBackbone=Qwen3-VL-30B-A3B, Pruning Ratio=50%2026.05741————————————————
SpikeMLLM(QuaRot+MSTS+TC-LIF)Model=MiniCPM-V-2.6-8B, Spiking=true, Time Step=2/32026.04739————————————————
GPT-4o2025.09736————————————————
Qwen2.5-VLParams=7B, Base model=Qwen-2.5-VL2026.05732————————————————
LFM2-VL-1.6B# Total Params=1.6B2025.11729————————————————
SmolVLM2Parameters=2.2B2026.03729————————————————
PruneSIDPruning Ratio=-65.11%, Base Model=Qwen3-VL-8B, Zero-shot evaluation=True2026.05726————————————————
SmolVLM2-2.2B# Total Params=2.2B, Evaluation Toolkit=VLMEvalKit2025.11725————————————————
RoboInter-LLaVAOV-7BModel Size=7B, Backbone=LLaVA-OV2026.02725————————————————
Qwen2.5-VL-SFTParams=7B, Base model=Qwen-2.5-VL2026.05724————————————————
SpikeMLLM(QuaRot+MSTS+TC-LIF)Model=Qwen2VL-7B, Spiking=true, Time Step=2/32026.04717————————————————
X-Omni2026.03712————————————————
ViQBase LLM=Qwen2.5-7B, Size=1.3B, AnyRes=true, Discrete=true2026.06711————————————————
ViQBase LLM=Qwen2.5 - 7B, Size=1.3B, AnyRes=true, Discrete=true2026.06711————————————————
GvU2026.03709————————————————