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Video Understanding on MVBench (test)

100.3AccuracyFSR
61.40471.50281.691.698Aug 19, 2024Dec 7, 2024Mar 27, 2025Jul 15, 2025Nov 2, 2025Feb 20, 2026Jun 11, 2026

Evaluation results

MethodLinks
FSRReduction Ratio=50%, Frames=322026.02100.359.7
LLaVA-Video-7B-qwen2Reduction Ratio=100%, Frames=322026.0210060.8
FSRReduction Ratio=60%, Frames=322026.0299.659.4
HoloVReduction Ratio=50%, Frames=322026.0299.259.4
FSRReduction Ratio=70%, Frames=322026.0298.959.2
HoloVReduction Ratio=60%, Frames=322026.0298.559.3
HoloVReduction Ratio=70%, Frames=322026.0298.259
FSRReduction Ratio=80%, Frames=322026.0298.258.5
HoloVReduction Ratio=80%, Frames=322026.029858.3
PLM-8BAccess Type=Open models2026.0177.1—
PLM-8BCategory=Fully open2026.0377.1—
Molmo2-8BAccess Type=Molmo2 family2026.0175.9—
Molmo2-8BCategory=Fully open2026.0375.9—
MolmoPoint-8BCategory=MolmoPoint2026.0375.2—
Molmo2-4BAccess Type=Molmo2 family2026.0175.1—
Molmo2-4BCategory=Fully open2026.0375.1—
Eagle2.5-8BAccess Type=Open weights only2026.0174.8—
Molmo2-O-7BAccess Type=Molmo2 family2026.0174.8—
Eagle2.5-8BCategory=Open weights2026.0374.8—
Molmo2-O-7BCategory=Fully open2026.0374.8—
PLM-3BAccess Type=Open models2026.0174.7—
PLM-3BCategory=Fully open2026.0374.7—
GPT-5Access Type=API call only2026.0174.1—
GPT-5type=Proprietary2026.0274.1—
GPT-5Category=API call only2026.0374.1—
VideoChat-Flash-7BAccess Type=Open models2026.0174—
VideoChat-Flash-7BCategory=Fully open2026.0374—
Qwen2-VL-72BParameters=72B2024.0973.6—
InternVL3.5-8BAccess Type=Open weights only2026.0172.1—
InternVL3.5-8BCategory=Open weights2026.0372.1—
InternVL2.5Model Size=7-8B, Zero-shot evaluation=true2025.1272—
InternVL3.5-4BAccess Type=Open weights only2026.0171.2—
InternVL3.5-4BCategory=Open weights2026.0371.2—
Gemini 2.5 ProAccess Type=API call only2026.0170.6—
Gemini 2.5 Protype=Proprietary2026.0270.6—
Gemini 2.5 ProCategory=API call only2026.0370.6—
Gemini 3 ProAccess Type=API call only2026.0170.4—
Gemini 3 Protype=Proprietary2026.0270.4—
Gemini 3 ProCategory=API call only2026.0370.4—
Oryx-1.5Size=32B2024.0970.1—
Structured Reward Reinforcement LearningBackbone Model=Qwen3-VL-32B, Method/Configuration=+Ours, Model Access Level=Open-source2026.0469.8—
Previous SoTA2024.0969.6—
Qwen2.5-VLModel Size=7-8B, Zero-shot evaluation=true2025.1269.6—
SeasonBackbone Model=Qwen3-VL-32B, Method/Configuration=+Season, Model Access Level=Open-source2026.0469.6—
Qwen3-VL-32BBackbone Model=Qwen3-VL-32B, Method/Configuration=Base, Model Access Level=Open-source2026.0469.5—
IXC-2.5-7Bnumber of parameters=7B2026.0269.1—
IXC-2.5-7BBackbone=7B2026.0569.1—
IXC-2.5# Params=7B2026.0669.1—
Qwen3-VL-4BAccess Type=Open weights only2026.0168.9—
Qwen3-VL-4BCategory=Open weights2026.0368.9—
Qwen3-VL-8BAccess Type=Open weights only2026.0168.7—
Qwen3-VL-8BCategory=Open weights2026.0368.7—
GLM-4.1V-9BAccess Type=Open weights only2026.0168.4—
JavisGPTModel Size=7-8B, #Samples=1.5M, Zero-shot evaluation=true2025.1268.4—
GLM-4.1V-9BCategory=Open weights2026.0368.4—
NVILANumber of Parameters=8B, #Frames=2562024.1268.1—
VIDEOP2RBase Model=Qwen2.5-VL-7B2025.1168.1—
NVILA-8BBackbone=8B2026.0568.1—
VideoChat-R1Base Model=Qwen2.5-VL-7B2025.1167.9—
Oryx-1.5Size=7B2024.0967.6—
Oryx-1.5Number of Parameters=8B, #Frames=1282024.1267.6—
Oryx-1.5-7BBackbone=1.5B2026.0567.6—
InternVideo2-7BBackbone=7B2026.0567.2—
LongVILALLM Size=7B2024.0867.1—
LongVILANumber of Parameters=7B, #Frames=2562024.1267.1—
Qwen2-VL-7BParameters=7B2024.0967—
Qwen2-VLNumber of Parameters=8B, #Frames=2fps2024.1267—
Qwen2-VL-7B-Ins.Backbone=7B-Instruct2024.1267—
Gemini 2.5 FlashAccess Type=API call only2026.0167—
Qwen2-VLModel Size=7-8B, Zero-shot evaluation=true2025.1267—
Gemini 2.5 FlashCategory=API call only2026.0367—
LongVUNumber of Parameters=7B, #Frames=1fps2024.1266.9—
Qwen2.5-OmniModel Size=7-8B, Zero-shot evaluation=true2025.1266.9—
Structured Reward Reinforcement LearningBackbone Model=Qwen3-VL-8B, Method/Configuration=+Ours, Model Access Level=Open-source2026.0466.7—
GPT-5 miniAccess Type=API call only2026.0166.5—
GPT-5 miniCategory=API call only2026.0366.5—
InternVL-2-8BBackbone=8B2024.1266.4—
Video-ToCFrames=642026.0466.4—
Video-ToCFrames=322026.0466.3—
InternVL2Number of Parameters=8B, #Frames=642024.1265.8—
InternVL2-8Bnumber of parameters=8B2026.0265.8—
Qwen3-VL-8BBackbone Model=Qwen3-VL-8B, Method/Configuration=Base, Model Access Level=Open-source2026.0465.8—
SeasonBackbone Model=Qwen3-VL-8B, Method/Configuration=+Season, Model Access Level=Open-source2026.0465.7—
Video-ToC-SFTFrames=642026.0465.7—
Video-ToC-SFTFrames=322026.0465.3—
Video-ToCFrames=162026.0465—
Video-R1Frames=642026.0464.8—
OryxSize=34B2024.0964.7—
VideoCAMSize=9B2024.0964.6—
VideoCCAM-9Bnumber of parameters=9B2026.0264.6—
SeasonBackbone Model=Qwen3-VL-4B, Method/Configuration=+Season, Model Access Level=Open-source2026.0464.3—
Structured Reward Reinforcement LearningBackbone Model=Qwen3-VL-4B, Method/Configuration=+Ours, Model Access Level=Open-source2026.0464.2—
VideoChat-R1Frames=162026.0464.2—
OryxSize=7B2024.0963.9—
Video-R1Base Model=Qwen2.5-VL-7B2025.1163.9—
Video-R1Frames=322026.0463.9—
Video-ToC-SFTFrames=162026.0463.3—
Qwen2-VL-2BParameters=2B2024.0963.2—
Time-R1Base Model=Qwen2.5-VL-7B2025.1163.1—
VersaVid-R1Base Model=Qwen2.5-VL-7B2025.1162.9—