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Long Video Understanding on MLVU (test)

81Average ScoreSymphony
14.02431.41248.866.188Nov 17, 2024Feb 6, 2025Apr 28, 2025Jul 18, 2025Oct 7, 2025Dec 27, 2025Mar 18, 2026

Evaluation results

MethodLinks
Symphony2026.0381——————————————
VideoChatA1Model Category=Agent Based2026.0376.2——————————————
ReAgent-VModel Category=Agent Based2026.0374.2——————————————
VideoRAGModel Category=Others2026.0373.8——————————————
Seed 1.6 VLModel Category=Open-Source VLMs, reproduced=true2026.0365.3——————————————
VideoDeepResearchModel Category=Agent Based2026.0364.5——————————————
VideoTreeModel Category=Agent Based2026.0360.4——————————————
QViC-MFSize (LLM)=7B (Qwen2), #Visual Tokens=16, Sampling Rate=2 fps2026.0359.4——————————————
QViC-MFSize (LLM)=7B (Qwen2), #Visual Tokens=16, Sampling Rate=1 fps2026.0357.6——————————————
VideoZoomerSize=7B, Evaluation Protocol=Max 128 frames2025.1255.8——————————————
GPT-4oParams=-, Frame=0.5fps2026.0254.9——————————————
GPT-4oSize=-, Evaluation Protocol=Standard2025.1254.9——————————————
GPT-4oSize (LLM)=-, #Visual Tokens=-2026.0354.9——————————————
GPT-4oModel Category=Commercial VLMs2026.0354.9——————————————
Qwen2.5-VL-72BModel Category=Open-Source VLMs2026.0353.8——————————————
VidLaDA#S (Model Size)=8B, #F (Number of input frames)=64, Architecture=DLM Baseline2026.0153.4——————————————
LLaVA-VideoSize (LLM)=7B (Qwen2), #Visual Tokens=1692026.0353.3——————————————
LLaVA-OVFrames=322025.1251.783.556.446.758.458—35.723.3——3.755.094.42—
LLaVA-Video#S (Model Size)=7B, #F (Number of input frames)=64, Architecture=AR Baseline, reproduced=true2026.0150.4——————————————
VideoScaffoldFrames=602025.1249.573.95555.248.652.1—24.337.4——3.585.164.37—
Video-R1Size=7B, Evaluation Protocol=Max 128 frames2025.1249.2——————————————
LongVILA-7BModel Category=Others2026.0349——————————————
Video-LLaVAFrames=82025.1247.371.65753.245.248.4—20.135.9——2.435.253.84—
LLaVA-OneVisionSize=7B, Evaluation Protocol=Standard2025.1247.2——————————————
VideoBrainParams=8B, Frame=20.02026.0246.9——————————————
LLaVA-SFT + OursFrames=602025.1246.17556.543.946.447.7—28.524.8——3.054.923.99—
Video-LLaMA2LLM Size=72B, Vision Encoder=CLIP-L2024.1145.680.253.836.754.75438.942.916.732.6—————
Video-XLSize=7B, Evaluation Protocol=Standard2025.1245.5——————————————
Qwen2.5-VLSize=7B, Evaluation Protocol=Max 128 frames2025.1245.5——————————————
Video-XLSize (LLM)=7B (Qwen2), #Visual Tokens=162026.0345.5——————————————
Video-R1Params=7B, Frame=322026.0245.4——————————————
Qwen2.5-VL#S (Model Size)=7B, #F (Number of input frames)=64, Architecture=AR Baseline, reproduced=true2026.0145.3——————————————
LLaVA-OneVision#S (Model Size)=7B, #F (Number of input frames)=32, Architecture=AR Baseline, reproduced=true2026.0145.3——————————————
VideoChat2Frames=162025.1244.574.651.54247.443.8—22.829.6——2.575.043.81—
LLaDA-V#S (Model Size)=8B, #F (Number of input frames)=32, Architecture=DLM Baseline, reproduced=true2026.0144.1——————————————
LLaVA-SFTFrames=162025.124471.85141.944.642.7—28.228.1——2.844.773.81—
Qwen3-VL-InstructParams=8B, Frame=322026.0243.4——————————————
TS-LLaVALLM Size=34B, Vision Encoder=CLIP-L2024.114383.543.65532.14655.628.61032.6—————
Qwen2.5-VL-InstructParams=7B, Frame=322026.0241.6——————————————
LongVAParams=7B, Frame=1282026.0241.1——————————————
LongVASize=7B, Evaluation Protocol=Standard2025.1241.1——————————————
LongVASize (LLM)=7B (Qwen2), #Visual Tokens=1442026.0341.1——————————————
MA-LMMFrames=10002025.1236.451.935.543.138.935.8—25.124.3——2.124.83.46—
ShareGPT4VideoParams=7B, Frame=162026.0233.8——————————————
TS-LLaVALLM Size=7B, Vision Encoder=CLIP-L2024.1133.676.938.528.3343030.625.72018.6—————
LLaMA-VIDFrames=12025.1233.250.834.530.132.732.5—23.927.8——3.225.224.22—
Video-ChatGPTFrames=1002025.1231.326.92440.34229.9—25.131.1——2.315.483.9—
Video-LLaVALLM Size=7B, Vision Encoder=ViT-L2024.1130.770.338.513.326.42638.92021.720.9—————
Video-LLaVASize=7B, Evaluation Protocol=Standard2025.1230.7——————————————
VideoChat2LLM Size=7B, Vision Encoder=UMT-L2024.1130.172.530.818.328.32636.117.123.318.6—————
MovieChatFrames=20482025.1225.829.52524.224.725.8—28.622.8——2.333.232.78—
LLaVA-NeXT-ImageLLM Size=7B, Vision Encoder=CLIP-L2024.1125.363.717.913.326.43022.221.416.716.3—————
MA-LMMSize (LLM)=7B (Vicuna-v1.1), #Visual Tokens=322026.0322——————————————
Video-ChatGPTLLM Size=7B, Vision Encoder=CLIP-L2024.1120.917.617.928.332.12227.817.113.311.6—————
Video-LLaMA2LLM Size=13B, Vision Encoder=CLIP-L2024.1118.952.712.813.3171219.415.78.318.6—————
MovieChatLLM Size=7B, Vision Encoder=CLIP-G2024.111818.710.323.315.11630.617.11516.3—————
MovieChatSize (LLM)=7B (Vicuna-v0), #Visual Tokens=322026.0318——————————————
LLaMA-VIDLLM Size=7B, Vision Encoder=CLIP-G2024.1117.220.923.121.711.31616.718.61511.6—————
LLaMA-VIDSize (LLM)=7B (Vicuna-v1.5), #Visual Tokens=22026.0317.2——————————————
VideoChatLLM Size=7B, Vision Encoder=CLIP-G2024.1116.626.412.818.3172211.115.711.714—————
AdaReTaKe2025.12——————————78.1————
AVPBackbone=Gemini-2.5-Flash2025.12——————————74.1————
AVPBackbone=Gemini-2.5-Pro2025.12——————————84.3————
FastVBackbone=LLaVA-Video-7B, Retention Ratio=25%, Input Frames=642026.03——————————————57.8
FrameMind2025.12——————————48.6————
Gemini-1.5-ProParam=-, Frames=2562026.03——————————53.8————
Gemini-2.5-Flash2025.12——————————72.4————
Gemini-2.5-Pro2025.12——————————79.6————
GPT-4o#Frames=384, Model Type=Closed-source Models2026.01——————————54.9————
GPT-4o2025.12——————————54.9————
GPT-4oParam=-, Frames=3842026.03——————————54.9————
GPT-4oPerception budget constraint=false, Perc. budget=-2026.05——————————54.9————
HoliTomBackbone=LLaVA-Video-7B, Retention Ratio=25%, Input Frames=642026.03——————————————60.5
InternVL-2.5Param=8B, Frames=322026.03——————————52.8————
InternVL2.5-VL-8BPerception budget constraint=true, Perc. budget=16*224*2242026.05——————————39.1————
InternVL3.5-241B-A28BFrames=–2026.03——————————————78.2
Kangaroo-8BPerception budget constraint=false, Perc. budget=-2026.05——————————46.5————
Keye1.5-VL-8BPerception budget constraint=true, Perc. budget=16*224*2242026.05——————————41.6————
Language AgentModel Type=Agentic LLMs, Base Model=Qwen-235B w/ our tools2026.01——————————50.9————
LatentMASPerception budget constraint=true, Perc. budget=16*224*224, VLM engine=Qwen3-VL-8B2026.05——————————42.3————
LLaVA-OneVisionParam=7B, Frames=-2026.03——————————47.2————
LLaVA-OneVision1.5-8BPerception budget constraint=true, Perc. budget=16*224*2242026.05——————————41.8————
LLaVA-Video-7BBackbone=LLaVA-Video-7B, Retention Ratio=100%, Input Frames=642026.03——————————————67.3
LongVILA-7B#Frames=256, Model Type=Open-source Models2026.01——————————49————
LongVU2025.12——————————65.4————
LVAgentAuxiliary Subtitles=true2025.12——————————83.9————
MACF (LLaVA-OV1.5-8B)Perception budget constraint=true, Perc. budget=16*224*224, Backbone=LLaVA-OneVision1.5-8B2026.05——————————49.4————
MACF (Qwen2.5-VL-7B)Perception budget constraint=true, Perc. budget=16*224*224, Backbone=Qwen2.5-VL-7B2026.05——————————47.6————
MACF (Qwen3-VL-8B)Perception budget constraint=true, Perc. budget=16*224*224, Backbone=Qwen3-VL-8B2026.05——————————49.2————
MapReducePerception budget constraint=true, Perc. budget=16*224*224, VLM engine=Qwen3-VL-8B2026.05——————————33.3————
Qwen-3-VL2025.12——————————84.3————
Qwen2.5-VLParam=7B, Frames=1282026.03——————————45.5————
Qwen2.5-VLParam=72B, Frames=1282026.03——————————53.8————
Qwen2.5-VL-72BFrames=7682026.03——————————————74.6
Qwen2.5-VL-72BPerception budget constraint=true, Perc. budget=16*224*2242026.05——————————44.2————
Qwen2.5-VL-7BPerception budget constraint=true, Perc. budget=16*224*2242026.05——————————38.7————
Qwen2.5-VL-7B-InstructFrames=642026.03——————————————57.1
Qwen2.5-VL-7B-InstructFrames=1282026.03——————————————63
Qwen2.5-VL-7B-Instruct + Bottom-KFrames=64+42026.03——————————————55.9
Qwen2.5-VL-7B-Instruct + Bottom-KFrames=128+82026.03——————————————62.3