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High-quality Vision-Language Evaluation on MMStar

68.2ScoreInternVL3
47.19252.64658.163.554Oct 16, 2025

Evaluation results

MethodLinks
InternVL3LLM=Qwen2.5-7B, # Data=>6B / 100M / 22M, Model Scale=8B, Architecture Category=Modular, Reinforcement Learning=true2025.1068.2
InternVL2.5LLM=InternLM2.5-7B, # Data=>6B / 50M / 4M, Model Scale=8B, Architecture Category=Modular, Reinforcement Learning=false2025.1064.4
Qwen2.5-VLLLM=Qwen2.5-7B, # Data=- / - / -, Model Scale=8B, Architecture Category=Modular, Reinforcement Learning=true2025.1063.9
Encoder-BasedLLM=Qwen3-8B, # Data=>6B / 40M / 4M, Model Scale=8B, Architecture Category=Modular, Reinforcement Learning=false2025.1063.5
NEOLLM=Qwen3-8B, # Data=345M / 40M / 4M, Model Scale=8B, Architecture Category=Native, Reinforcement Learning=false2025.1062.4
InternVL3LLM=Qwen2.5-1.5B, # Data=>6B / 100M / 22M, Model Scale=2B, Architecture Category=Modular, Reinforcement Learning=true2025.1060.7
Qwen2-VLLLM=Qwen2-7B, # Data=- / - / -, Model Scale=8B, Architecture Category=Modular, Reinforcement Learning=false2025.1060.7
Qwen2.5-VLLLM=Qwen2.5-3B, # Data=- / - / -, Model Scale=2B, Architecture Category=Modular, Reinforcement Learning=true2025.1055.9
NEOLLM=Qwen3-1.7B, # Data=345M / 40M / 4M, Model Scale=2B, Architecture Category=Native, Reinforcement Learning=false2025.1054.2
InternVL2.5LLM=InternLM2.5-1.8B, # Data=>6B / 100M / 16M, Model Scale=2B, Architecture Category=Modular, Reinforcement Learning=false2025.1053.7
SAILLLM=Mistral-7B, # Data=512M / 86M / 6M, Model Scale=8B, Architecture Category=Native, Reinforcement Learning=false2025.1053.1
Encoder-BasedLLM=Qwen3-1.7B, # Data=>6B / 40M / 4M, Model Scale=2B, Architecture Category=Modular, Reinforcement Learning=false2025.1052.7
BREENLLM=Qwen2.5-7B, # Data=13M / 0M / 4M, Model Scale=8B, Architecture Category=Native, Reinforcement Learning=false2025.1051.2
Qwen2-VLLLM=Qwen2-1.5B, # Data=- / - / -, Model Scale=2B, Architecture Category=Modular, Reinforcement Learning=false2025.1048