Professional Multimodal Understanding on MMMU-Pro benchmark leaderboard · SOTA2 Research

Professional Multimodal Understanding on MMMU-Pro

14.98ECEGPT-4o

Evaluation Results

Method	Links
GPT-4o2026.04		14.98	70.53	64.77	43.97
GPT-4o-mini2026.04		18.56	67.41	59.88	38.8
GPT-4o-mini2026.04		19.19	65.43	49.78	23.4
Phi-3.5-Vision2026.04		21.01	55.51	53.64	9.16
MiniCPM-V-2.62026.04		26.48	44.23	33.89	-5.05
Phi-3.5-Vision2026.04		28.2	67.42	69.02	39.31
InternVL2.5-4B2026.04		28.44	77.71	74.17	44.43
GPT-4o2026.04		30.91	70.78	57.48	32.36
Qwen2.5-VL-7B2026.04		35.52	56.65	32.14	11.26
MiniCPM-V-2.62026.04		37.19	58.01	49.51	19.77
InternVL2.5-4B2026.04		39.49	31.64	43	-22.66
InternVL3.5-8B2026.04		41.91	70.4	46.5	25.04
Qwen2.5-VL-7B2026.04		47.68	71.99	33.76	13.38
InternVL3.5-8B2026.04		51.36	50.29	28.58	-0.08