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Temporal Video Understanding on TempCompass

83.7AccuracySeed1.5-VL
70.774.07577.4580.825May 11, 2025Jul 19, 2025Sep 27, 2025Dec 6, 2025Feb 13, 2026Apr 24, 2026Jul 3, 2026

Evaluation results

MethodLinks
Seed1.5-VLThinking mode=true, Evaluation frame rate=1 FPS2025.0583.7————————————————————————
Seed1.5-VLThinking mode=false, Evaluation frame rate=1 FPS2025.0583.1————————————————————————
Gemini 1.5 ProSource=[59]2026.0682.8————————————————————————
Gemini 1.5 ProSource=[60]2026.0681.9————————————————————————
GPT-4o2026.0680.4————————————————————————
Gemini 1.5 Flash2026.0680.2————————————————————————
Qwen3-VL-8B + CRPOBackbone=Qwen3-VL-8B, Post-training Method=CRPO2026.0577.4————————————————————————
Structured Reward Reinforcement LearningBackbone Model=Qwen3-VL-32B, Method/Configuration=+Ours, Model Access Level=Open-source2026.0477.3————————————————————————
Qwen3-VL-32BBackbone Model=Qwen3-VL-32B, Method/Configuration=Base, Model Access Level=Open-source2026.0477.2————————————————————————
GPT-5.1Model Type=Proprietary2026.0576.4————————————————————————
RLER2026.0476.2————————————————————————
AdaCodecToken budget=comparable, Backbone=Qwen2-VL-7B2026.0675.9————————————————————————
Gemini 2.5 ProEvaluation frame rate=1 FPS, self-collected via API=true2025.0575.8————————————————————————
AdaCodecToken budget=1/7, Backbone=Qwen2-VL-7B2026.0675.8————————————————————————
Molmo2-8B + MotionAtlas-DataModel Class=Open-source Models, Training Data=MotionAtlas-Data2026.0675.7————————————————————————
FFRBase Model=Video-R1-SFT, Training=RFT + FFR2026.0475.6———————————————————————9.25
FFR (GLM-4.5V)Distillation Method=FFR, Teacher Model=GLM-4.5V2026.0475.6————————————————————————
Qwen3-VL-8B + GRPOBackbone=Qwen3-VL-8B, Post-training Method=GRPO2026.0575.5————————————————————————
Key-VL-1.5-8B2026.0675.5————————————————————————
Pixel-Reasoner2026.0475.4————————————————————————
FFRBase Model=VideoRFT-SFT, Training=RFT + FFR2026.0475.4———————————————————————10.23
Qwen3-VL-8B + T-GRPOBackbone=Qwen3-VL-8B, Post-training Method=T-GRPO2026.0575.4————————————————————————
FFRDistillation Method=FFR, Teacher Model=Qwen3-235B2026.0475.2————————————————————————
Structured Reward Reinforcement LearningBackbone Model=Qwen3-VL-8B, Method/Configuration=+Ours, Model Access Level=Open-source2026.0475.1————————————————————————
SFTDistillation Method=SFT, Teacher Model=Qwen3-235B2026.0475.1————————————————————————
Qwen3-VL-8BBackbone=Qwen3-VL-8B, Post-training Method=base2026.0575.1————————————————————————
Molmo2-4B + MotionAtlas-DataModel Class=Open-source Models, Training Data=MotionAtlas-Data2026.0675.1————————————————————————
Qwen3-VL-8B + MotionAtlas-DataModel Class=Open-source Models, Training Data=MotionAtlas-Data2026.0675.1————————————————————————
Qwen3-VL-8B + ArrowRLBackbone=Qwen3-VL-8B, Post-training Method=ArrowRL2026.0574.9————————————————————————
GPT-4o mini2026.0674.9————————————————————————
Qwen2.5-VL-72BFrames=7682026.0174.8————————————————————————
Qwen3-VL-8B-Thinking + MVPFrames=642026.0174.7————————————————————————
Gemini-3.1-ProModel Type=Proprietary2026.0574.5————————————————————————
Eagle-X5-7B2026.0674.4————————————————————————
EvoVidModel=Qwen3-VL-8B-Instruct, Training Iteration=Iter 12026.0574.3————————————————————————
EvoVidModel=Qwen3-VL-8B-Instruct, Training Iteration=Iter 32026.0574.3————————————————————————
Qwen2-VL-7B2026.0674.3————————————————————————
Qwen3-VL-8B-ThinkingFrames=642026.0174.2————————————————————————
Qwen3-VL-4B + CRPOBackbone=Qwen3-VL-4B, Post-training Method=CRPO2026.0574.2————————————————————————
Qwen3-VL-4B + MotionAtlas-DataModel Class=Open-source Models, Training Data=MotionAtlas-Data2026.0674.2————————————————————————
Qwen3-VL-8BBackbone Model=Qwen3-VL-8B, Method/Configuration=Base, Model Access Level=Open-source2026.0474.1————————————————————————
SeasonBackbone Model=Qwen3-VL-32B, Method/Configuration=+Season, Model Access Level=Open-source2026.0474.1————————————————————————
Gemini 3 ProModel Class=Closed-source Models2026.0674.1————————————————————————
VideoChat-R12026.0473.9————————————————————————
GPT-4o2025.1273.8————————————————————————
GPT-4oBackbone Model=GPT-4o, Method/Configuration=Base, Model Access Level=Closed-source2026.0473.8————————————————————————
Structured Reward Reinforcement LearningBackbone Model=Qwen2.5-VL-7B, Method/Configuration=+Ours, Model Access Level=Open-source2026.0473.8————————————————————————
GPT-4o2026.0473.75————————————————————————
SeasonBackbone Model=Qwen2.5-VL-7B, Method/Configuration=+Season, Model Access Level=Open-source2026.0473.7————————————————————————
VideoRFT2026.0473.7————————————————————————
VideoRFT2026.0473.7————————————————————————
EvoVidModel=Qwen3-VL-8B-Instruct, Training Iteration=Iter 22026.0573.7————————————————————————
Gemini 2.5 ProModel Class=Closed-source Models2026.0673.7————————————————————————
VideoRFTEvaluation Setting=Direct Answer2026.0773.7————————————————————————
Qwen3-VL-8B-InstructEvaluation Setting=Direct Answer2026.0773.62————————————————————————
Base ModelModel=Qwen3-VL-8B-Instruct, Training Iteration=w/o training2026.0573.6————————————————————————
DNA-Train-7B2025.1273.5————————————————————————
Qwen3-VL-4B + T-GRPOBackbone=Qwen3-VL-4B, Post-training Method=T-GRPO2026.0573.5————————————————————————
TCDBackbone Model=Qwen2.5-VL-7B, Method/Configuration=+TCD, Model Access Level=Open-source2026.0473.4————————————————————————
EvoVidModel=Qwen3-VL-8B-Instruct, Training Iteration=Frozen Questioner2026.0573.4————————————————————————
Molmo2-8B2026.0673.4————————————————————————
DINO-HEALBackbone Model=Qwen2.5-VL-7B, Method/Configuration=+DINO-HEAL, Model Access Level=Open-source2026.0473.2————————————————————————
Video-R12026.0473.2————————————————————————
Video-R12026.0473.2————————————————————————
EvoVidModel=Qwen2.5-VL-7B-Instruct, Training Iteration=Iter 32026.0573.2————————————————————————
Video-R1Evaluation Setting=Direct Answer2026.0773.2————————————————————————
VideoSearcher-8BEvaluation Setting=Agentic Model2026.0773.14————————————————————————
EvoVidModel=Qwen2.5-VL-7B-Instruct, Training Iteration=Iter 22026.0573.1————————————————————————
Structured Reward Reinforcement LearningBackbone Model=Qwen3-VL-4B, Method/Configuration=+Ours, Model Access Level=Open-source2026.0473————————————————————————
SFTDistillation Method=SFT, Teacher Model=Qwen3-32B2026.0473————————————————————————
Molmo2-O-7B2026.0673————————————————————————
GPT-5.2Model Class=Closed-source Models2026.0673————————————————————————
Qwen2.5-VL-7BBackbone Model=Qwen2.5-VL-7B, Method/Configuration=Base, Model Access Level=Open-source2026.0472.9————————————————————————
MOSS-ChatV2026.0472.9————————————————————————
Video-ChatR12026.0472.9————————————————————————
Claude 3.5 Sonnet2026.0672.8————————————————————————
MiniCPM-V-2.6-8B2026.0672.7————————————————————————
PLM-7B2026.0672.7————————————————————————
ArrowRLBackbone Model=Qwen2.5-VL-7B, Method/Configuration=+ArrowRL, Model Access Level=Open-source2026.0472.6————————————————————————
EvoVidModel=Qwen2.5-VL-7B-Instruct, Training Iteration=Frozen Questioner2026.0572.5————————————————————————
STAR-R12026.0472.4————————————————————————
InternVL3.5-8B + MVPFrames=642026.0172.3————————————————————————
GLM-4V-9B2026.0672.3————————————————————————
VideoChat-R1.5Evaluation Setting=Direct Answer2026.0772.3————————————————————————
Qwen2.5-VL2026.0472.2————————————————————————
FFRDistillation Method=FFR, Teacher Model=Qwen3-32B2026.0472.2————————————————————————
Base ModelModel=Qwen2.5-VL-7B-Instruct, Training Iteration=w/o training2026.0572.2————————————————————————
Qwen3-VL-4B + GRPOBackbone=Qwen3-VL-4B, Post-training Method=GRPO2026.0572.2————————————————————————
EvoVidModel=Qwen2.5-VL-7B-Instruct, Training Iteration=Iter 12026.0572.1————————————————————————
Molmo2-8BModel Class=Open-source Models2026.0672.1————————————————————————
Streamo-7BModel Category=Streamo Framework, Parameters=7B2025.1271.8————————————————————————
Qwen3-VL-8BModel Class=Open-source Models2026.0671.8————————————————————————
Qwen2.5-VL-7BModel Category=Streamo Framework, Parameters=7B2025.1271.7————————————————————————
EvoVidModel=Qwen3-VL-4B-Instruct, Training Iteration=Iter 32026.0571.7————————————————————————
ArrowRL*Model Type=Open-Source2026.0571.7————————————————————————
Qwen3-VL-4BBackbone=Qwen3-VL-4B, Post-training Method=base2026.0571.6————————————————————————
Qwen3-VL-4B + ArrowRLBackbone=Qwen3-VL-4B, Post-training Method=ArrowRL2026.0571.6————————————————————————
Qwen2.5-VL-7B2025.1271.4————————————————————————
VideoCoMEvaluation Setting=Direct Answer2026.0771.3————————————————————————
SeasonBackbone Model=Qwen3-VL-8B, Method/Configuration=+Season, Model Access Level=Open-source2026.0471.2————————————————————————