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Video Question Answering on NExT-QA (test)

86.3AccuracyGPT-5
65.570.976.381.7Nov 9, 2023Mar 21, 2024Aug 1, 2024Dec 12, 2024Apr 24, 2025Sep 4, 2025Jan 15, 2026

Evaluation results

MethodLinks
GPT-5Access Type=API call only2026.0186.3————————————————————
Molmo2-8BAccess Type=Molmo2 family2026.0186.2————————————————————
VideoChat-Flash-7BAccess Type=Open models2026.0185.5————————————————————
Molmo2-4BAccess Type=Molmo2 family2026.0185.5————————————————————
Gemini 2.5 ProAccess Type=API call only2026.0185.3————————————————————
Oryx-1.5Size=32B2024.0985————————————————————
Eagle2.5-8BAccess Type=Open weights only2026.0185————————————————————
Gemini 3 ProAccess Type=API call only2026.0184.3————————————————————
Molmo2-O-7BAccess Type=Molmo2 family2026.0184.3————————————————————
PLM-8BAccess Type=Open models2026.0184.1————————————————————
BIMBA-LLaVALLM=Qwen2-7B, Frames=1282025.0383.73————————————————————
OryxSize=34B2024.0983.5————————————————————
Qwen3-VL-8BAccess Type=Open weights only2026.0183.4————————————————————
PLM-3BAccess Type=Open models2026.0183.4————————————————————
LLaVA-VideoLLM=Qwen2-7B, Frames=642025.0383.2————————————————————
GPT-5 miniAccess Type=API call only2026.0183.2————————————————————
LLaVA-Video-7BAccess Type=Open models2026.0183.2————————————————————
InternVL3 + HFSLLM size=8B+1.5B, # Frames=162025.1283.1————————————————————
VILA-1.5Size=40B2024.0982.9————————————————————
NVILALLM size=8B, # Frames=2562025.1282.2————————————————————
STARBase Model=GPT-4o, Frames=7.22025.1282.181.181.586.3—————————————————
OryxSize=7B2024.0981.9————————————————————
Oryx-1.5Size=7B2024.0981.8————————————————————
Gemini 2.5 FlashAccess Type=API call only2026.0181.8————————————————————
Oryx-1.5LLM size=7B, # Frames=64/2562025.1281.8————————————————————
InternVL3LLM size=8B, # Frames=16, reproduced=true2025.1281.8————————————————————
InternVL3.5-8BAccess Type=Open weights only2026.0181.7————————————————————
Qwen3-VL-4BAccess Type=Open weights only2026.0181.4————————————————————
GLM-4.1V-9BAccess Type=Open weights only2026.0181.3————————————————————
Qwen2.5-VL-7BBase Model=-, Frames=2 fps2025.1280.980.679.385.5—————————————————
Detector-based T*Base Model=GPT-4o, Frames=82025.1280.4————————————————————
InternVL3.5-4BAccess Type=Open weights only2026.0180.3————————————————————
LLaVA-OneVisionSize=72B2024.0980.2————————————————————
VideoChat2-HDSize=7B2024.0979.5————————————————————
LLaVA-OneVisionSize=7B2024.0979.4————————————————————
LLaVA-OneVisionLLM=Qwen2-7B, Frames=322025.0379.4————————————————————
CREMAModality=V, F, D, LLM=Mistral-7B, Tr. Params.=45M2024.0279.4————————————————————
LLaVA-OneVisionLLM size=7B, # Frames=322025.1279.4————————————————————
Qwen2.5-VL + HFSLLM size=7B+1.5B, # Frames=162025.1279.4————————————————————
Claude Sonnet 4.5Access Type=API call only2026.0179.2————————————————————
LLaVA-NeXT-InterleaveSize=14B2024.0779.1————————————————————
CREMAModality=V, F, LLM=Mistral-7B, Tr. Params.=21M2024.0278.9————————————————————
MiniCPM-V-4.5-8BAccess Type=Open weights only2026.0178.8————————————————————
VideoChat2*Modality=V, LLM=Mistral-7B, Tr. Params.=>200M, Note=reproduced2024.0278.4————————————————————
Qwen2-VL + M-LLMLLM size=7B+1.5B2025.1278.4————————————————————
LLaVA-NeXT-InterleaveSize=7B2024.0778.2————————————————————
LLaVA-NeXTModality=V, LLM=Qwen1.5-7B, Tr. Params.=7B2024.0278.2————————————————————
AKeySBase Model=GPT-4o, Frames=7.62025.1278.172.97986.1—————————————————
LLaVA-NeXT-InterleaveSize=7B, Training Protocol=DPO2024.0777.9————————————————————
Qwen2.5-VLLLM size=7B, # Frames=16, reproduced=true2025.1277.8————————————————————
Qwen2-VLLLM size=7B2025.1277.6————————————————————
Video-XLLLM size=7B2025.1277.2————————————————————
BIMBA-LLAMALLM=LLaMA3.2-8B, Frames=642025.0376.88————————————————————
MotionEpic - VoTModality=V, LLM=Vicuna-7B, Tr. Params.=>100M2024.0276————————————————————
Keye-VL-1.5-8BAccess Type=Open weights only2026.0175.8————————————————————
InternVL3-8BBase Model=-, Frames=82025.1275.777.572.177.1—————————————————
VideoTreeLLM=GPT42025.0375.6————————————————————
VideoTreeBase Model=GPT-4, Frames=63.22025.1275.670.676.583.9—————————————————
VidF4Base Model=-, Frames=82025.1274.169.674.283.3—————————————————
CREMAModality=V, F, D, N, Trainable Params.=28M, GFLOPS=2.47K, Evaluation Protocol=Fine-tuned2024.0273.974.469.481.6——71.375.567.372.566.192.979.7————————
SeViLAModality=V, Trainable Params.=216M, Evaluation Protocol=Fine-tuned2024.0273.874.269.481.3——71.375.367.871.767.291.885.2————————
LLaMA-3.2 (Video)LLM=LLaMA3.2-8B, Frames=642025.0373.72————————————————————
VideoTreeLLM Size=GPT-4, Vision Encoder=Unknown, Training Strategy=SFT2024.0773.5————————————————————
BLIP-2Modality=V, F, D, N, Trainable Params.=432M, GFLOPS=6.12K, Evaluation Protocol=Fine-tuned2024.0273.373.568.582.1——71.774.265.772.665.592.581.9————————
Mirasol3BNumber of frames=512, Combiner type=TTM2023.1173.2————————————————————
Mirasol3BModality=V, Trainable Params.=3B, Evaluation Protocol=Fine-tuned2024.0273.2————————————————————
CREMAModality=V, F, D, Trainable Params.=20M, GFLOPS=2.34K, Evaluation Protocol=Fine-tuned2024.0273.273.36980.8——70.474.466.672.46192.581————————
LVNetBase Model=GPT-4o, Frames=122025.1272.965.57581.5—————————————————
PLLAVA (LLaMA-3.2)LLM=LLaMA3.2-8B, Frames=642025.0372.77————————————————————
BLIP-2Modality=V, F, D, Trainable Params.=324M, GFLOPS=5.03K, Evaluation Protocol=Fine-tuned2024.0272.773.367.681.4——70.874.26571.461.593.281.6————————
BLIP-2Modality=V, Trainable Params.=108M, GFLOPS=1.30K, Evaluation Protocol=Fine-tuned2024.0272.672.968.181.2——69.973.965.471.964.991.880.3————————
BLIP-2Modality=V, F, Trainable Params.=216M, GFLOPS=2.21K, Evaluation Protocol=Fine-tuned2024.0272.672.66881.9——68.87465.871.164.992.881.3————————
CREMAModality=V, F, Trainable Params.=8M, GFLOPS=2.22K, Evaluation Protocol=Fine-tuned2024.0272.472.866.982.2——69.374.164.470.567.292.880.9————————
BIMBA-LLaVALLM=Vicuna-7B, Frames=642025.0372.35————————————————————
Mirasol3BNumber of frames=5122023.1172————————————————————
SF-LLaVA-34BLLM Size=34B, Vision Encoder=CLIP-L, Training Strategy=Training-free2024.0772————————————————————
LLaMA-VQAModality=V, LLM=LLAMA2-7B, Tr. Params.=5M2024.0272————————————————————
LLaMA-VQA (7B)Modality=V, Trainable Params.=5M, Evaluation Protocol=Fine-tuned2024.0272—69.275.8———72.7—————————————
CREMAModality=V, Trainable Params.=4M, GFLOPS=1.30K, Evaluation Protocol=Fine-tuned2024.0271.672.165.981.6——67.373.96370.264.993.280.3————————
TarsierLLM size=7B, # Frames=82025.1271.6————————————————————
VideoAgentLLM Size=GPT-4, Vision Encoder=Unknown, Training Strategy=SFT2024.0771.3————————————————————
VideoAgentLLM=GPT42025.0371.3————————————————————
VideoAgentBase Model=GPT-4, Frames=8.22025.1271.364.572.781.1—————————————————
LVNetLLM size=7B, # Frames=122025.1271.1————————————————————
IG-VLM (LLAVA-v1.6)LLM Size=34B, Vision Encoder=CLIP-L, Training Strategy=Training-free2024.0770.9————————————————————
LLaVA-Next-VideoSize=34B2024.0970.2————————————————————
VideoChat2Size=7B2024.0768.6————————————————————
VideoChat2Modality=V, LLM=Vicuna-7B, Tr. Params.=>200M2024.0268.6————————————————————
LongVALLM=Qwen2-7B, Frames=1282025.0368.3————————————————————
Mirasol3BNumber of frames=1282023.1168.2————————————————————
PLLAVALLM=Vicuna-7B, Frames=162025.0368.17————————————————————
HawkEyeFine-tuned=false, Strict zero-shot=false2024.0367.93————————————————————
LLoViLLM Size=GPT-3.5, Vision Encoder=Unknown, Training Strategy=SFT2024.0767.7————————————————————
LLaVA-NeXT (Video)LLM=Vicuna-7B, Frames=642025.0367.66————————————————————
LongVULLM=Qwen2-7B, Frames=1fps2025.0367.6————————————————————
PLLAVALLM=Vicuna-7B, Frames=642025.0367.56————————————————————
VideoChat2 (our impl.)Fine-tuned=false, Implementation=Reproduced, Strict zero-shot=false2024.0366.91————————————————————
VideoChat2Fine-tuned=false, Strict zero-shot=false2024.0366.5————————————————————
LLoViLLM=GPT3.52025.0366.3————————————————————
Video-LLaVAModality=V, LLM=Vicuna-7B, Tr. Params.=7B2024.0266.3————————————————————