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LVLM Evaluation on MMStar

76.6CP ScoreGPT4V (high)
0.26420.08239.959.718Feb 28, 2026

Evaluation results

MethodLinks
GPT4V (high)LLM=GPT4-Turbo, Param.=-2026.0276.651.466.655.842.649.857.1—
Qwen3VL-4B-ThinkingLLM=Qwen3-4B, Param.=4B2026.0273.658.874.873.650.886.868.4—
InternLM-XC2LLM=InternLM2-7B, Param.=7B2026.0270.848.865.256.44249.255.4—
InternVL-Chat-V1.2LLM=NH2-Yi-34B, Param.=40B2026.0267.643.261.247.22419.243.7—
CogVLM-ChatLLM=Vicuna-v1.5-7B, Param.=17B2026.0266.836.849.231.223.611.636.5—
LLaVA-NextLLM=NH2-Yi-34B, Param.=34B2026.0266.45262.44632.453.652.1—
Deepseek-VLLLM=Deepseek-7B, Param.=8B2026.026430.849.236.421.620.437.1—
GPT4V (low)LLM=GPT4-Turbo, Param.=-2026.026232.855.24833.644.846.1—
TinyLLaVALLM=Phi2-2.7B, Param.=3B2026.0260.431.650.830.41824.836—
Qwen-VL-ChatLLM=Qwen-7B, Param.=8B2026.0259.63250.829.22231.637.5—
LLaVA-1.5LLM=Vicuna-v1.5-7B, Param.=7B2026.0258.82438.82413.622.830.3—
ShareGPT4VLLM=Vicuna-v1.5-7B, Param.=7B2026.0258.82845.624.417.22433—
LLaVA-1.5LLM=Vicuna-v1.5-13B, Param.=13B2026.0258.82841.624.418.425.632.8—
Sphinx-X-MOELLM=Mixtral-8x7B, Param.=57B2026.0258.440.847.635.219.23238.9—
Yi-VLLLM=Yi-6B, Param.=6B2026.025833.646.434.820.43437.9—
Monkey-ChatLLM=Qwen-7B, Param.=10B2026.0257.636.451.633.226.424.438.3—
Yi-VLLLM=Yi-34B, Param.=34B2026.0253.231.25232.412.435.236.1—
GeminiPro-VisionLLM=GeminiPro, Param.=-2026.0251.628.850.84628.45042.6—
Random ChoiceLLM=-, Param.=-2026.0223.724.525.324.324.825.124.6—
ReMoT-CoT-4BLLM=Qwen3-4B, Param.=4B2026.023.260.82.878.455.2270.4—
Gemini 2.5 FlashSize=-, mode=instruct2026.04———————75.8
InternVL3.5Size=8B, mode=instruct2026.04———————69.3
MiniCPM-o 4.5Size=9B, mode=instruct2026.04———————73.1
Qwen3-OmniSize=30B-A3B, mode=instruct2026.04———————68.5
Qwen3-VLSize=8B, mode=instruct2026.04———————70.9