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Video Understanding on Video-MME (test)

88.6AccuracyGemini 3 Pro
47.83258.4166979.584Nov 24, 2025Dec 15, 2025Jan 5, 2026Jan 27, 2026Feb 17, 2026Mar 10, 2026Apr 1, 2026

Evaluation results

MethodLinks
Gemini 3 ProAccess Type=API call only2026.0188.6——
Gemini 2.5 ProAccess Type=API call only2026.0187.8——
Gemini 2.5 FlashAccess Type=API call only2026.0184.2——
GPT-5Access Type=API call only2026.0183.3——
VideoChat-M1Frames=69.9, Inference Time=19.8s2025.1183.2——
GPT-5 miniAccess Type=API call only2026.0177.3——
Gemini-1.5-ProFrames=568, Inference Time=227.2s2025.1175——
Gemini 1.5 ProBackbone Model=Gemini 1.5 Pro, Method/Configuration=Base, Model Access Level=Closed-source2026.0475——
Claude Sonnet 4.5Access Type=API call only2026.0174.2——
Keye-VL-1.5-8BAccess Type=Open weights only2026.0173——
Eagle2.5-8BAccess Type=Open weights only2026.0172.4——
GPT-4oFrames=384, Inference Time=153.6s2025.1171.9——
GPT-4oBackbone Model=GPT-4o, Method/Configuration=Base, Model Access Level=Closed-source2026.0471.9——
Qwen3-VL-8BAccess Type=Open weights only2026.0171.4——
Qwen2-VL-72BFrames=568, Inference Time=90.5s2025.1171.2——
Molmo2-8BAccess Type=Molmo2 family2026.0169.9——
Molmo2-4BAccess Type=Molmo2 family2026.0169.6——
Qwen3-VL-4BAccess Type=Open weights only2026.0169.3——
GLM-4.1V-9BAccess Type=Open weights only2026.0168.2——
MiMo-VL-Miloco-7B2025.1268——
MiniCPM-V-4.5-8BAccess Type=Open weights only2026.0167.9——
MiMo-VL-7B-SFT-25082025.1267.8——
InternVL3-8B2025.1266.3——
InternVL3.5-8BAccess Type=Open weights only2026.0166——
InternVL3.5-4BAccess Type=Open weights only2026.0165.4——
VideoChat-Flash-7BAccess Type=Open models2026.0165.3——
Qwen2.5-VL-7B2025.1265.1——
Molmo2-O-7BAccess Type=Molmo2 family2026.0164.9——
LLaVA-Video-7BAccess Type=Open models2026.0163.3——
SeasonBackbone Model=Qwen3-VL-32B, Method/Configuration=+Season, Model Access Level=Open-source2026.0460.9——
Structured Reward Reinforcement LearningBackbone Model=Qwen3-VL-32B, Method/Configuration=+Ours, Model Access Level=Open-source2026.0460.3——
Qwen3-VL-32BBackbone Model=Qwen3-VL-32B, Method/Configuration=Base, Model Access Level=Open-source2026.0460.1——
PLM-8BAccess Type=Open models2026.0158.3——
Structured Reward Reinforcement LearningBackbone Model=Qwen3-VL-8B, Method/Configuration=+Ours, Model Access Level=Open-source2026.0457.4——
Qwen3-VL-8BBackbone Model=Qwen3-VL-8B, Method/Configuration=Base, Model Access Level=Open-source2026.0456.7——
SeasonBackbone Model=Qwen3-VL-8B, Method/Configuration=+Season, Model Access Level=Open-source2026.0456.6——
PLM-3BAccess Type=Open models2026.0154.9——
Structured Reward Reinforcement LearningBackbone Model=Qwen3-VL-4B, Method/Configuration=+Ours, Model Access Level=Open-source2026.0454.4——
SeasonBackbone Model=Qwen3-VL-4B, Method/Configuration=+Season, Model Access Level=Open-source2026.0453.8——
Qwen3-VL-4BBackbone Model=Qwen3-VL-4B, Method/Configuration=Base, Model Access Level=Open-source2026.0453.6——
Structured Reward Reinforcement LearningBackbone Model=LLaVA-OV-7B, Method/Configuration=+Ours, Model Access Level=Open-source2026.0451.2——
Structured Reward Reinforcement LearningBackbone Model=Qwen2.5-VL-7B, Method/Configuration=+Ours, Model Access Level=Open-source2026.0450.9——
SeasonBackbone Model=LLaVA-OV-7B, Method/Configuration=+Season, Model Access Level=Open-source2026.0450.7——
LLaVA-OV-7BBackbone Model=LLaVA-OV-7B, Method/Configuration=Base, Model Access Level=Open-source2026.0450.6——
DINO-HEALBackbone Model=LLaVA-OV-7B, Method/Configuration=+DINO-HEAL, Model Access Level=Open-source2026.0450.6——
TCDBackbone Model=LLaVA-OV-7B, Method/Configuration=+TCD, Model Access Level=Open-source2026.0450.4——
SeasonBackbone Model=Qwen2.5-VL-7B, Method/Configuration=+Season, Model Access Level=Open-source2026.0450.4——
Qwen2.5-VL-7BBackbone Model=Qwen2.5-VL-7B, Method/Configuration=Base, Model Access Level=Open-source2026.0449.9——
DINO-HEALBackbone Model=Qwen2.5-VL-7B, Method/Configuration=+DINO-HEAL, Model Access Level=Open-source2026.0449.9——
ArrowRLBackbone Model=Qwen2.5-VL-7B, Method/Configuration=+ArrowRL, Model Access Level=Open-source2026.0449.6——
TCDBackbone Model=Qwen2.5-VL-7B, Method/Configuration=+TCD, Model Access Level=Open-source2026.0449.4——
Demo-ICLSize=7B2026.02—65.269.7
Demo-ICL (SFT)Size=7B2026.02—65.670.2
Gemini 1.5-Pro2024.09—7581.3
Gemini-1.5-ProSize=not specified2024.09—7581.3
Gemini-1.5-ProSize=-2026.02—73.279.8
Gemini-2.5-ProSize=-2026.02—84.386.9
GPT-4o2024.09—71.977.2
GPT-4oSize=not specified2024.09—71.977.2
GPT-4oSize=-2026.02—71.977.2
GPT-4VSize=not specified2024.09—59.963.3
GPT-4VSize=-2026.02—59.963.3
InternVL3.5Size=8B2026.02—6668.6
KangarooSize=8B2024.09—5657.6
LLaVA-Next-VideoSize=34B2024.09—5254.9
LLaVA-OneVisionSize=7B2024.09—58.261.5
LLaVA-OneVisionSize=72B2024.09—66.269.5
LLaVA-OneVisionSize=7B2026.02—58.261.5
LLaVA-OneVisionSize=72B2026.02—66.269.5
LLaVA-VideoSize=7B2026.02—63.369.7
LLaVA-VideoSize=72B2026.02—70.576.9
Ola-Video (Base)Size=7B2026.02—6368.9
OryxSize=7B2024.09—58.362.6
OryxSize=34B2024.09—63.267.4
Oryx-1.5Size=7B2024.09—58.864.2
Oryx-1.5Size=32B2024.09—67.374.9
Previous SoTA2024.09—66.369.6
Qwen2-VL-2BParameters=2B2024.09—55.660.4
Qwen2-VL-72BParameters=72B2024.09—71.277.8
Qwen2-VL-7BParameters=7B2024.09—63.369
Qwen2.5-VLSize=7B2026.02—65.171.6
Qwen2.5-VLSize=72B2026.02—73.379.1
VideoCAMSize=9B2024.09—53.956.1
VideoChat2-HDSize=7B2024.09—45.355.7
VideoLLaMA2Size=7B2024.09—47.950.3
VideoLLaMA2Size=72B2024.09—61.463.1
VideoLLaMA2Size=7B2026.02—47.950.3
VideoLLaMA2Size=72B2026.02—61.463.1
VideoLLaMA3Size=7B2026.02—66.270.3
VILA-1.5Size=40B2024.09—60.161.1
VILA-1.5Size=40B2026.02—60.161.1