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ResearchFormerly WizWand

General Vision-Language Understanding on MMB

84.6ScoreInternVL2.5
7.74427.69747.6567.603Oct 16, 2025
Updated 8mo ago

Evaluation results

MethodLinks
InternVL2.5LLM=InternLM2.5-7B, # Data=>6B / 50M / 4M, Model Scale=8B, Architecture Category=Modular, Reinforcement Learning=false2025.1084.6
Encoder-BasedLLM=Qwen3-8B, # Data=>6B / 40M / 4M, Model Scale=8B, Architecture Category=Modular, Reinforcement Learning=false2025.1084
Qwen2.5-VLLLM=Qwen2.5-7B, # Data=- / - / -, Model Scale=8B, Architecture Category=Modular, Reinforcement Learning=true2025.1083.5
InternVL3LLM=Qwen2.5-7B, # Data=>6B / 100M / 22M, Model Scale=8B, Architecture Category=Modular, Reinforcement Learning=true2025.1083.4
Qwen2-VLLLM=Qwen2-7B, # Data=- / - / -, Model Scale=8B, Architecture Category=Modular, Reinforcement Learning=false2025.1083
NEOLLM=Qwen3-8B, # Data=345M / 40M / 4M, Model Scale=8B, Architecture Category=Native, Reinforcement Learning=false2025.1082.1
InternVL3LLM=Qwen2.5-1.5B, # Data=>6B / 100M / 22M, Model Scale=2B, Architecture Category=Modular, Reinforcement Learning=true2025.1081.1
Qwen2.5-VLLLM=Qwen2.5-3B, # Data=- / - / -, Model Scale=2B, Architecture Category=Modular, Reinforcement Learning=true2025.1079.1
NEOLLM=Qwen3-1.7B, # Data=345M / 40M / 4M, Model Scale=2B, Architecture Category=Native, Reinforcement Learning=false2025.1076
Encoder-BasedLLM=Qwen3-1.7B, # Data=>6B / 40M / 4M, Model Scale=2B, Architecture Category=Modular, Reinforcement Learning=false2025.1075.8
Qwen2-VLLLM=Qwen2-1.5B, # Data=- / - / -, Model Scale=2B, Architecture Category=Modular, Reinforcement Learning=false2025.1074.9
InternVL2.5LLM=InternLM2.5-1.8B, # Data=>6B / 100M / 16M, Model Scale=2B, Architecture Category=Modular, Reinforcement Learning=false2025.1074.7
HoVLELLM=InternLM2-1.8B, # Data=550M / 50M / 7M, Model Scale=2B, Architecture Category=Native, Reinforcement Learning=false2025.1073.3
OneCATLLM=Qwen2.5-1.5B, # Data=436M / 70M / 13M, Model Scale=2B, Architecture Category=Native, Reinforcement Learning=false2025.1072.4
BREENLLM=Qwen2.5-7B, # Data=13M / 0M / 4M, Model Scale=8B, Architecture Category=Native, Reinforcement Learning=false2025.1071.4
SAILLLM=Mistral-7B, # Data=512M / 86M / 6M, Model Scale=8B, Architecture Category=Native, Reinforcement Learning=false2025.1070.1
SOLOLLM=Mistral-7B, # Data=44M / 0M / 2M, Model Scale=8B, Architecture Category=Native, Reinforcement Learning=false2025.1067.7
EVEv2LLM=Qwen2.5-7B, # Data=77M / 15M / 7M, Model Scale=8B, Architecture Category=Native, Reinforcement Learning=false2025.1066.3
Mono-InternVLLLM=InternLM2-1.8B, # Data=1.2B / 143M / 7M, Model Scale=2B, Architecture Category=Native, Reinforcement Learning=false2025.1065.5
Mono-InternVL-1.5LLM=InternLM2-1.8B, # Data=400M / 150M / 7M, Model Scale=2B, Architecture Category=Native, Reinforcement Learning=false2025.1064
VoRALLM=Qwen2.5-7B, # Data=30M / 0M / 0.6M, Model Scale=8B, Architecture Category=Native, Reinforcement Learning=false2025.1061.3
Emu3LLM=from scratch, # Data=- / - / -, Model Scale=8B, Architecture Category=Native, Reinforcement Learning=false2025.1058.5
EVELLM=Vicuna-7B, # Data=33M / 0M / 1.8M, Model Scale=8B, Architecture Category=Native, Reinforcement Learning=false2025.1052.3
ChameleonLLM=from scratch, # Data=1.4B / 0M / 1.8M, Model Scale=8B, Architecture Category=Native, Reinforcement Learning=false2025.1031.1
FuyuLLM=Persimmon-8B, # Data=- / - / -, Model Scale=8B, Architecture Category=Native, Reinforcement Learning=false2025.1010.7