List your company

Visual Search on V*

92.67AccuracyDynamo + RL
43.093255.964168.83581.7059Sep 26, 2025Nov 11, 2025Dec 27, 2025Feb 11, 2026Mar 29, 2026May 14, 2026Jun 29, 2026

Evaluation results

MethodLinks
Dynamo + RLBackbone=Qwen2.5-VL-7B2026.0692.67————————
DeepEyesCategory=Reasoning Models, Base Model=Qwen2.5-VL-7B, Parameter Size=7B, Reasoning Mode=Visually-grounded2025.0990.1——53.72—————
Chain-of-FocusCategory=Reasoning Models, Base Model=Qwen2.5-VL-7B, Parameter Size=7B2025.0988——50.94—————
ViGoRL-7BCategory=Reasoning Models, Base Model=Qwen2.5-VL-7B, Parameter Size=7B2025.0986.4——50.53—————
DynamoBackbone=Qwen2.5-VL-7B2026.0685.86————————
Visual Para-Thinker++Size=7B2026.0685.7————————
Dynamo + RLBackbone=Qwen2.5-VL-3B2026.0685.34————————
RLBackbone=Qwen2.5-VL-7B2026.0684.82————————
DynamoBackbone=Qwen2.5-VL-3B2026.0684.29————————
InterSketch2026.0583.8————————
AdaVaR-7BCategory=Reasoning Models, Base Model=Qwen2.5-VL-7B, Parameter Size=7B, Reasoning Mode=Adaptive2025.0983.4——55.82—————
MiMo-EmbodiedParams=7B2025.1182.72————————
Thyme-7B2026.0582.2————————
Visual Para-ThinkerSize=7B2026.0682.2————————
DeepEyeV2-7B2026.0581.8————————
MiMo-VLParams=7B2025.1181.68————————
Visual Para-Thinker++Size=3B2026.0680————————
DirectBackbone=Qwen2.5-VL-7B2026.0679.06————————
GPT5-miniSize=-2026.0678.6————————
VLAA-Thinker-7BCategory=Reasoning Models, Base Model=Qwen2.5-VL-7B, Parameter Size=7B, Reasoning Mode=Text-based2025.0978.5——54.2—————
GRPOSize=7B2026.0678.4————————
ViGoRL-3BCategory=Reasoning Models, Base Model=Qwen2.5-VL-3B, Parameter Size=3B2025.0978.1——45.7—————
RLBackbone=Qwen2.5-VL-3B2026.0678.01————————
Qwen2.5-VL-7BCategory=Reasoning Models, Base Model=Qwen2.5-VL-7B, Parameter Size=7B2025.0978——50.9—————
Orsta-7BCategory=Reasoning Models, Base Model=Qwen2.5-VL-7B, Parameter Size=7B2025.0978——52.04—————
AdaVaR-3BCategory=Reasoning Models, Base Model=Qwen2.5-VL-3B, Parameter Size=3B, Reasoning Mode=Adaptive2025.0977——50.84—————
Qwen2.5-VLSize=72B2026.0676.9————————
Gemini2.5-ProSize=-2026.0676.7————————
Qwen2.5-VL-7B2026.0576.4————————
Sequential (SFT)Size=7B2026.0676.1————————
Qwen2.5-VLSize=7B2026.0675.9————————
Visual Para-ThinkerSize=3B2026.0675.9————————
Majority voting@4Size=7B2026.0675.6————————
LLaVA-OV-7BCategory=SFT & Close-source Models, Parameter Size=7B2025.0975.4————————
LMM-R1Category=Reasoning Models, Base Model=Qwen2.5-VL-3B, Parameter Size=3B2025.0974.9——48.8—————
GPT-4oParams=–2025.1173.9————————
GPT-4oSize=-2026.0673.9————————
Qwen2.5-VLParams=7B2025.1173.8————————
Qwen2.5-VL-3BCategory=Reasoning Models, Base Model=Qwen2.5-VL-3B, Parameter Size=3B2025.0973.5——45.74—————
Qwen3-VL-8B2026.0573————————
InternVL3Params=8B2025.1172.8————————
GRIT-3BCategory=Reasoning Models, Base Model=Qwen2.5-VL-3B, Parameter Size=3B2025.0972.3——45.8—————
DirectBackbone=Qwen2.5-VL-3B2026.0671.2————————
GRPOSize=3B2026.0670.4————————
ThinkMorph-7B2026.0567————————
GPT-4oCategory=SFT & Close-source Models2025.0966——53.2—————
Sequential (SFT)Size=3B2026.0665————————
Majority voting@4Size=3B2026.0664.7————————
Qwen2.5-VLSize=3B2026.0663.3————————
OVR-7BCategory=Reasoning Models, Base Model=Qwen2.5-VL-7B, Parameter Size=7B, Reasoning Mode=Text-based2025.0962.5——55.76—————
MM-EurekaCategory=Reasoning Models, Base Model=Qwen2.5-VL-7B, Parameter Size=7B2025.0959.7——52.52—————
VLAA-Thinker-3BCategory=Reasoning Models, Base Model=Qwen2.5-VL-3B, Parameter Size=3B, Reasoning Mode=Text-based2025.0956——46.7—————
Claude-4-SonnetSize=-2026.0645————————
Chain-of-FocusE2E=false, Param=7B2025.12———88—————
DeepeyesE2E=true, Param=7B2025.12—90.4384.2187.96—————
DeepEyes#Param=7B, Tool Capability=true2026.04————87.43——91.381.58
DyfoE2E=false, Param=7B2025.12———81.2—————
GPT-4o2025.12———66—————
IMAgentE2E=true, Param=7B2025.12—88.788.1688.48—————
Jigsaw-R1#Param=3B2026.04————69.63——72.1765.79
LLaVA-OneVisionParam=7B2025.12—75.77575.4—————
LMM-R1#Param=3B2026.04————49.21——46.0953.95
LVRModel Architecture=Qwen2.5-VL-3B-Instruct, Training Regime=4 steps2026.04————64.969.660.5——
MM-Eureka#Param=7B2026.04————48.17——42.6156.58
No fine-tuningModel Architecture=Qwen2.5-VL-3B-Instruct, Training Regime=Zero-shot2026.04————565360.5——
No fine-tuningModel Architecture=Qwen3-VL-4B-Instruct, Training Regime=Zero-shot2026.04————81.286.173.7——
OpenVLThinker#Param=7B2026.04————78.01——76.5280.26
PEARLModel Architecture=Qwen2.5-VL-3B-Instruct, Training Regime=LVR data2026.04————73.882.660.5——
PEARLModel Architecture=Qwen2.5-VL-3B-Instruct, Training Regime=PixelReasoner data2026.04————69.678.356.6——
PEARLModel Architecture=Qwen2.5-VL-3B-Instruct, Training Regime=ThinkMorph data2026.04————62.869.652.6——
PEARLModel Architecture=Qwen3-VL-4B-Instruct, Training Regime=LVR data2026.04————81.785.276.3——
PEARLModel Architecture=Qwen3-VL-4B-Instruct, Training Regime=PixelReasoner data2026.04————79.682.675——
PEARLModel Architecture=Qwen3-VL-4B-Instruct, Training Regime=ThinkMorph data2026.04————75.481.765.8——
Perception-R1#Param=3B2026.04————53.92——57.3948.68
Perceval#Param=3B, Base Model=Qwen2.5-VL2026.04————83.25——90.4372.37
Perceval#Param=7B, Base Model=Qwen2.5-VL2026.04————86.39——86.0986.84
Pixel ReasonerE2E=false, Param=7B2025.12—91.377.6385.86—————
Pixel-Reasoner#Param=7B, Tool Capability=true2026.04————84.3————
Qwen2.5-VLParam=7B2025.12—79.1373.6876.96—————
Qwen2.5-VL#Param=3B2026.04————60.73——57.3965.79
Qwen2.5-VL#Param=7B2026.04————62.3——60.8764.47
Qwen2.5-VL + GRPO#Param=3B2026.04————80.1——86.9569.73
Qwen2.5-VL + GRPO#Param=7B2026.04————84.29——85.2282.89
Qwen2.5-VL-CoTParam=7B2025.12—73.9176.3274.86—————
R1-VL#Param=2B2026.04————58.64——59.1357.89
R1-VL#Param=7B2026.04————55.5——47.8367.11
SEALE2E=false, Param=7B2025.12———75.4—————
VL-Rethinker#Param=7B2026.04————56.54——54.7859.21
VLAA-Thinker#Param=7B2026.04————47.12——43.4752.63
VLM-R1#Param=3B2026.04————72.25——75.6567.11
ZoomeyeE2E=false, Param=7B2025.12—93.985.590.6—————