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High-Resolution Visual Perception on HR-Bench 8K

86.88AccuracyGemini-3.1-Pro
29.9444.722559.50574.2875Feb 26, 2026Mar 12, 2026Mar 26, 2026Apr 9, 2026Apr 23, 2026May 7, 2026May 21, 2026

Evaluation results

MethodLinks
Gemini-3.1-ProParam Size=-, Inference Mode=Closed-Source2026.0586.88—
Qwen3.5Param Size=397B, Inference Mode=Single Forward Pass2026.0585.5—
Vision-OPD (Ours)Param Size=9B, Inference Mode=Single Forward Pass2026.0585.5—
ZwZParam Size=8B, Inference Mode=Single Forward Pass2026.0581.75—
Gemini-2.5-ProModel Type=Closed-Source2026.0581.5—
SpecReasonBase Model=Thyme2026.0381.020.51
Qwen3.5Param Size=9B, Inference Mode=Single Forward Pass2026.0580.63—
Qwen3-VL-InstructParam Size=235B, Inference Mode=Single Forward Pass2026.0580.38—
Vision-OPD (Ours)Param Size=4B, Inference Mode=Single Forward Pass2026.0580.38—
Qwen3.5Param Size=4B, Inference Mode=Single Forward Pass2026.0580.13—
GLM-4.6VParam Size=106B, Inference Mode=Single Forward Pass2026.0578.88—
SenseNova-MARSParam Size=8B, Inference Mode=Agentic2026.0578.38—
GPT-5.2Param Size=-, Inference Mode=Closed-Source2026.0578.38—
GPT-5.4Param Size=-, Inference Mode=Closed-Source2026.0577.88—
Qwen3-VL-InstructParam Size=8B, Inference Mode=Single Forward Pass2026.0575.25—
Kimi-K2.5Param Size=1T, Inference Mode=Single Forward Pass2026.0575.25—
MAESTROModel Type=Ours2026.0574.4—
GPT-5Model Type=Closed-Source2026.0574.1—
DeepEyes-v2Model Type=Think with Images Methods2026.0573.8—
DeepEyesV2Param Size=7B, Inference Mode=Agentic2026.0573.75—
Gemini-2.5-FlashModel Type=Closed-Source2026.0573.7—
SpecEyesBase Model=Thyme, Aggregation Strategy=min2026.0373.310.95
GLM-4.6VModel Type=Open-Source & Baselines2026.0573—
DeepEyesParam Size=7B, Inference Mode=Agentic2026.0572.63—
DeepEyesModel Type=Think with Images Methods2026.0572.6—
SpecReasonBase Model=DeepEyes2026.0372.540.42
ThymeBase Model=Thyme2026.0372.431
SpecEyesBase Model=Thyme, Aggregation Strategy=bottom2026.0372.310.99
ThymeParam Size=7B, Inference Mode=Agentic2026.0572—
ThymeModel Type=Think with Images Methods2026.0572—
SpecEyesBase Model=DeepEyes, Aggregation Strategy=min2026.0371.81.08
DeepEyesBase Model=DeepEyes2026.0371.431
SpecEyesBase Model=DeepEyes, Aggregation Strategy=bottom2026.0371.181.04
SpecEyesBase Model=Thyme, Aggregation Strategy=log2026.0370.841.06
MathCoder-VLModel Type=Think with Images Methods2026.0570.6—
AdaFocusModel=Qwen2.5VL-3B, Training-free=true2026.0270—
SpecEyesBase Model=DeepEyes, Aggregation Strategy=log2026.0369.671.28
Qwen3-VL-32BModel Type=Open-Source & Baselines2026.0569.5—
MiMo-VL-RLParam Size=7B, Inference Mode=Single Forward Pass2026.0569.38—
Untrained ModelModel Type=Open-Source & Baselines2026.0568.5—
ZoomEyesModel=Qwen2.5VL-3B, Training-free=true2026.0268.38—
Direct AnsweringModel Type=Open-Source & Baselines2026.0568.1—
Qwen3-VL-2BMode=draft only2026.03682.9
SpecEyesBase Model=Thyme, Aggregation Strategy=mean2026.03681.21
Chain-of-FocusModel Type=Think with Images Methods2026.0567.5—
SpecEyesBase Model=DeepEyes, Aggregation Strategy=mean2026.0367.381.77
VTS-VModel Type=Think with Images Methods2026.0567.3—
VisionReasonerModel Type=Think with Images Methods2026.0566.5—
VTOOL-R1Model Type=Think with Images Methods2026.0566.4—
Pixel ReasonerModel=Qwen2.5VL-3B, Training-free=false2026.0266—
PixelReasonerModel Type=Think with Images Methods2026.0565.4—
Kimi-K2.5Model Type=Open-Source & Baselines2026.0565.1—
MLLMs-KnowModel=Qwen2.5VL-3B, Training-free=true2026.0264.88—
MiniCPM-V-4.5Param Size=9B, Inference Mode=Single Forward Pass2026.0561.5—
BaselineModel=Qwen2.5VL-3B, Training-free=true2026.0258.88—
GPT-4oModel Type=Closed-Source2026.0555—
Visual-ARFTModel Type=Think with Images Methods2026.0554—
ZoomEyesModel=LLaVA-v1.5-7B, Training-free=true2026.0248.63—
AdaFocusModel=LLaVA-v1.5-7B, Training-free=true2026.0242—
DC2Model=LLaVA-v1.5-7B, Training-free=true2026.0239.5—
MLLMs-KnowModel=LLaVA-v1.5-7B, Training-free=true2026.0237.25—
VisCropModel=LLaVA-v1.5-7B, Training-free=true2026.0235.75—
BaselineModel=LLaVA-v1.5-7B, Training-free=true2026.0232.13—