Text Embedding on MTEB (Language/Domain Performance) benchmark leaderboard · SOTA2 Research

Text Embedding on MTEB (Language/Domain Performance)

72.32Average (Multi-Language/Domain) PerformanceTop-1 leaderboard result

Evaluation Results

Method	Links
Top-1 leaderboard result2026.05		72.32	75.97	80.75	66.55	63.6	65.56	70.15	59.96	70.37	77.01	50.95	78.52	73.18	58.38	74.16	71.58	54.74	68.46
Top-5 leaderboard result2026.05		69.45	74.61	76	63.83	62.32	62.01	67.39	55.72	67.25	69.06	—	74.87	69.51	56.23	69.39	65.26	52.37	65.95
ML-Embed2026.05		66.79	73.26	80.28	62.91	68	69.49	76.76	66.43	71.91	74.84	73.84	67.22	77.81	62.64	69.24	71.12	61.62	70.24
ML-Embed2026.05		65.8	72.89	79.95	62.05	67.53	67.88	75.15	65.49	70.97	73.32	73.14	66.55	76.65	61.42	67.93	69.94	61.2	69.29
ML-Embed2026.05		63.7	71.19	78.9	59.88	65.47	65.79	72.58	63.99	68.94	72.33	71.12	64.87	74.53	59.83	67.08	68.35	60.27	67.58
ML-Embed2026.05		61.3	70.01	77.27	57.58	63.4	62	66.11	61.58	66.64	68.74	68.13	62.64	71.3	56.59	63.35	65.32	57.85	64.69
ML-Embed2026.05		58.06	67.99	73.94	55.91	59.8	59.22	61.87	58.48	63.59	61.71	65.65	59.38	66	54.04	60.12	60.16	54.17	61.18
ML-Embed2026.05		49.81	60.35	61.78	48.28	50.4	47.95	46.37	46.66	52.83	53.07	51.22	51.02	55.97	43.89	47.24	52.5	43.67	50.76
AP2026.05		47	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
RoPE2026.05		46	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
DSTG-NeoBERT2026.05		46	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
RP2026.05		43	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—