Baidu Releases ERNIE 5.1 at 6% of Industry Pre-Training Cost, Enters Global Top-10 Search
Baidu
Baidu officially released ERNIE 5.1 on May 8–9, 2026, compressing total parameters to one-third and active parameters to one-half compared to ERNIE 5.0 while reducing pre-training costs to approximately 6% of comparable industry models. The model ranked 4th globally on the LMArena Search Leaderboard with a score of 1,223, making it the only Chinese model in the global top 10 for search. Baidu showcased ERNIE 5.1 further at its Create 2026 developer conference in Beijing on May 13–14.
Why it matters
ERNIE 5.1 demonstrates that parameter-efficiency techniques — elastic sub-network extraction combined with multi-teacher on-policy distillation — can yield frontier-competitive performance at a fraction of typical pre-training compute.
Importance: 3/5
ERNIE 5.1 — top-10 global search leaderboard, 94% pre-training cost reduction, showcased at Create 2026