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97.2ANLSORCA (Qwen3VL-8B)
87.73690.19392.6595.107Sep 5, 2024Dec 17, 2024Mar 30, 2025Jul 12, 2025Oct 23, 2025Feb 3, 2026May 18, 2026

Evaluation results

MethodLinks
ORCA (Qwen3VL-8B)Open-source=true, Architectural Paradigm=ORCA (Multi-Agent Framework)2026.0397.2——
Qwen3-VLSize=235B(A22B)2026.0397.1——
OURS (KG SELF-PLAY)PARAMS=4B2026.0596.8——
Qwen2-VLOpen-source=true, Architectural Paradigm=General-Purpose VLMs2026.0396.7——
ORCA (Qwen2.5-VL-7B)Open-source=true, Architectural Paradigm=ORCA (Multi-Agent Framework)2026.0396.4——
Qwen2.5-VLSize=72B2026.0396.4——
Qwen3VL-8B-InstructOpen-source=true, Architectural Paradigm=Baseline VLMs (Single-Model)2026.0396.1——
Qwen3-VLSize=8B2026.0396.1——
ORCA (Qwen3VL-4B)Open-source=true, Architectural Paradigm=ORCA (Multi-Agent Framework)2026.0396——
Qwen2.5-VLLLM Backbone=Qwen2.5-7B, Open Data=false, Super-Image (SI)=false2025.1295.7——
MiMo-VL-RLLLM Backbone=MiMo-7B, Open Data=false, Super-Image (SI)=false2025.1295.7——
Qwen2.5-VLInput=Any Res., RoPE=M-RoPE, Backbone=Dense, Parameter Scale=8B2025.1095.7——
Qwen2.5-VL-7B-InstructOpen-source=true, Architectural Paradigm=Baseline VLMs (Single-Model)2026.0395.7——
Qwen2.5-VLSize=7B2026.0395.7——
Qwen2.5-VLParams=7B, Base model=Qwen-2.5-VL2026.0595.7——
QWEN3-VL + SFT ONLYPARAMS=4B2026.0595.6——
QWEN3-VL + SPIN (NO KG)PARAMS=4B2026.0595.57——
Qwen2.5-VL-VIFParams=7B, Base model=Qwen-2.5-VL2026.0595.5——
InternVL3.5Size=78B2026.0395.4——
Qwen3VL-4B-InstructOpen-source=true, Architectural Paradigm=Baseline VLMs (Single-Model)2026.0395.3——
Qwen3-VLSize=4B2026.0395.3——
QWEN3-VL (VANILLA)PARAMS=4B2026.0595.3——
Claude 3.5 SonnetOpen Data=false, Super-Image (SI)=false2025.1295.2——
Claude-3.5-SonnetSize=Closed2026.0395.2——
InternVL2-ProOpen-source=true, Architectural Paradigm=General-Purpose VLMs2026.0395.1——
MiMo-VL-7B-RLOpen-source=true, Architectural Paradigm=Reasoning-Enhanced OS Models2026.0395——
VideoLLaMA3-7BOpen-source=true, Architectural Paradigm=Reasoning-Enhanced OS Models2026.0395——
BaselineCompression Ratio=0%, Backbone=Qwen-2.5-7B-Instruct2026.0294.9——
BaselineBase Model=Qwen-2.5-VL-7B-Instruct2026.0294.9——
Qwen2.5-VL-7BModel Category=Specialist VLMs2026.0494.9——
LLaVA-One-Vision-8BOpen-source=true, Architectural Paradigm=General-Purpose VLMs2026.0394.8——
Qwen2.5-VL-SFTParams=7B, Base model=Qwen-2.5-VL2026.0594.8——
FastVLMVision Encoder=FastViTHD, LLM=Qwen2, Data (M) (PT+IT)=15+23.1, Input Res.=2048, #Visual Tokens=1280, Vis. Enc. Size(M)=125, TTFT (ms)=37212024.1294.5——
Qwen2-VLInput=Any Res., RoPE=M-RoPE, Backbone=Dense, Parameter Scale=8B2025.1094.5——
GLM-4.5VSize=106B(A12B)2026.0394.5——
Dream-VLLLM Backbone=Dream 7B, Open Data=true, Super-Image (SI)=true2025.1294.4——
Dream-VLLLM Backbone=Dream 7B, Open Data=true, Super-Image (SI)=false2025.1294.4——
BAGELModel Category=Unified Models2026.0494.3——
Claude-3.7 SonnetOpen-source=false, Architectural Paradigm=General-Purpose VLMs2026.0394.1——
InternVL3.5Size=38B2026.0394——
Qwen2.5-VLInput=Any Res., RoPE=M-RoPE, Backbone=Dense, Parameter Scale=2B2025.1093.9——
Qwen2.5-VLSize=3B2026.0393.9——
MAmmoTH-VLLLM Backbone=Qwen2.5-7B, Open Data=true, Super-Image (SI)=true2025.1293.8——
TokenVL-8BSize=8B2026.0393.8——
MAmmoTH-VLLLM Backbone=Qwen2.5-7B, Open Data=true, Super-Image (SI)=false2025.1293.7——
Molmo-72BOpen-source=true, Architectural Paradigm=General-Purpose VLMs2026.0393.5——
MolmoSize=72B2026.0393.5——
Q-MaskSize=3B2026.0393.5——
DeepSeek-VL2Open-source=true, Architectural Paradigm=General-Purpose VLMs2026.0393.3——
GLM-4.1VSize=9B2026.0393.3——
Qwen3-VLSize=2B2026.0393.3——
Q-MaskSize=2B2026.0393.3——
VisionSelectorCompression Ratio=75%, Backbone=Qwen-2.5-7B-Instruct2026.0293.24——
VisionSelectorRetained Tokens=25%2026.0293.24——
IDPrunerCompression Ratio=75%, Backbone=Qwen-2.5-7B-Instruct2026.0293.16——
IDPrunerRetained Tokens=25%2026.0293.16——
Gemini-1.5 ProOpen Data=false, Super-Image (SI)=false2025.1293.1——
Qwen-VL-Max (single)Open-source=false, Architectural Paradigm=General-Purpose VLMs2026.0393.1——
InternVL2.5Input=Tile-wise, RoPE=1D-RoPE, Backbone=Dense, Parameter Scale=8B2025.1093——
GPT-4oOpen-source=false, Architectural Paradigm=General-Purpose VLMs2026.0393——
Qwen2.5-VL-32BToken Budget=100%, Backbone Model=Qwen2.5-VL-32B2026.0493—100
InternVL3.5Size=20B2026.0392.9——
GPT-4oOpen Data=false, Super-Image (SI)=false2025.1292.8——
GPT-4oSize=Closed2026.0392.8——
InternVL3LLM Backbone=Qwen2.5-7B, Open Data=false, Super-Image (SI)=false2025.1292.7——
InternVL3Input=Tile-wise, RoPE=1D-RoPE, Backbone=Dense, Parameter Scale=8B2025.1092.7——
InternVL3.5Size=4B2026.0392.4——
FastVLMVision Encoder=FastViTHD, LLM=Qwen2, Data (M) (PT+IT)=15+12.5, Input Res.=2048, #Visual Tokens=1280, Vis. Enc. Size(M)=125, TTFT (ms)=37212024.1292.3——
InternVL3.5Size=8B2026.0392.3——
Molmo-8B-DLLM Backbone=Qwen2 7B, Open Data=true, Super-Image (SI)=false2025.1292.2——
Encoder-BasedInput=Tile-wise, RoPE=1D-RoPE, Backbone=Dense, Parameter Scale=8B2025.1092.1——
MarternSize=8B2026.0392——
GPT 5.2Size=Closed2026.0391.7——
InternVL2-8BBackbone=8B2025.0391.66——
InternVL 2Size=8B, Visual tokens=31332024.0991.6——
LLaDA-oModel Category=Unified Models2026.0491.5——
DocVALModel Size=12B, Base Model=Gemma3-12B2025.1191.40.824—
Entropy-Gradient GroundingTraining Approach=Training-free, VLM=Qwen 2.5 VL2026.0491.16——
IXC 2.5Size=7B, Visual tokens=51182024.0990.9——
DAVELLM Backbone=Qwen-2.5-7B-Instruct2025.1290.9——
Base modelTraining Approach=Training-free, VLM=Qwen 2.5 VL2026.0490.81——
FastVLMVision Encoder=FastViTHD, LLM=Qwen2, Data (M) (PT+IT)=15+12.5, Input Res.=2048, #Visual Tokens=1280, Vis. Enc. Size(M)=125, TTFT (ms)=12632024.1290.2——
SigLIP 2LLM Backbone=Qwen-2.5-7B-Instruct2025.1290.2——
Qwen2-VLInput=Any Res., RoPE=M-RoPE, Backbone=Dense, Parameter Scale=2B2025.1090.1——
Encoder-BasedInput=Tile-wise, RoPE=1D-RoPE, Backbone=Dense, Parameter Scale=2B2025.1089.9——
NEOInput=Any Res., RoPE=Native-RoPE, Backbone=Dense, Parameter Scale=2B2025.1089.9——
TokenVL-2BSize=2B2026.0389.9——
TextHawk2Size=7B2026.0389.6——
LLaDA2.0-UniModel Category=Unified Models2026.0489.5——
AIMv2LLM Backbone=Qwen-2.5-7B-Instruct2025.1289.3——
Claude-3-OpusSize=Closed2026.0389.3——
INTERNVL2PARAMS=4B2026.0589.2——
X-Omni2026.0389.1——
DocVALModel Size=4B, Base Model=Gemma3-4B2025.1188.70.691—
InternVL2.5Input=Tile-wise, RoPE=1D-RoPE, Backbone=Dense, Parameter Scale=2B2025.1088.7——
NEOInput=Any Res., RoPE=Native-RoPE, Backbone=Dense, Parameter Scale=8B2025.1088.6——
GvU2026.0388.4——
GPT-4V-11062026.0588.4——
InternVL3Input=Tile-wise, RoPE=1D-RoPE, Backbone=Dense, Parameter Scale=2B2025.1088.3——
Gemini Pro2026.0588.1——