Multimodal Reasoning on VisAlg 1.0 benchmark leaderboard · SOTA2 Research

Multimodal Reasoning on VisAlg 1.0

48.23BLEUTwD

Evaluation Results

Method	Links
TwD2026.02		48.23	72.22	68.29	11.97	93.68	30.25	0.9	0.96	0.7	0.73	1	85.91	82.63
Gemini-3-Pro2026.02		30.18	59.06	57.53	18.23	90.36	27.32	0.97	0.95	0.94	0.78	0.96	91.98	79.96
Gemini-2.5-Pro2026.02		28.94	58.25	57.43	18.12	89.97	26.92	0.95	0.76	0.99	0.73	0.32	74.97	74.12
Claude-42026.02		28.66	58.54	57.17	18.16	89.97	26.88	0.94	0.74	0.99	0.72	0.3	73.71	73.62
GPT-5.12026.02		22.93	56.13	51.23	25.86	86.89	25.7	0.77	0.67	0.95	0.51	0.19	61.69	66.6
GPT-4o2026.02		16.24	50.64	35.73	24.49	89.15	26.59	0.5	0.42	0.83	0.31	0.72	55.44	60.11
Mimo-VL-7B-RL2026.02		10.36	46.17	33.43	79.47	25.87	7.75	0.38	0.48	0.76	0.23	0.85	54.05	37.78
InternVL3-8B2026.02		9.93	48.51	37.57	32.64	82.7	24.25	0.31	0.56	0.32	0.15	0.89	44.69	54.99
InternVL2.5-8B2026.02		9.12	46.38	48.41	51.1	58.97	17.22	0.32	0.44	0.36	0.14	0.68	38.73	48.7
Intern-S1-mini2026.02		8.41	36.47	22.68	59.52	49.32	14.65	0.57	0.26	0.87	0.36	0.97	60.39	44.13
Qwen3-VL-8B2026.02		6.65	39.04	23.94	83.69	20.1	0	0.6	0.16	0.84	0.29	1	57.8	33.95