DeepSeek · OpenAI · Nvidia · Google · China · Decrypt
Baidu's New AI Is Already Beating Top Models and Cost 94% Less to Build
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Baidu, China's equivalent of Google, officially released ERNIE 5.1 late last week, and the headline number is hard to ignore: The model cost roughly 94% less to train than comparable AI systems at the same scale.
Key facts
- Baidu is hosting its annual Create 2026 developer conference on May 13–14 in Beijing, where it plans to showcase ERNIE's latest industrial applications
- Instead of building ERNIE 5.1 from scratch, Baidu extracted an optimized sub-network from its existing ERNIE 5.0 architecture—which it released in January 2026—and compressed it down
- On LMArena Search Arena—a leaderboard where real users compare AI models on live web search tasks, scored by human preference— ERNIE 5.1 scored 1,223, landing fourth globally and first among all
- When the Chinese startup released R1—a model that matched OpenAI's o1 at 98% lower query cost —it triggered a $600 billion wipeout in Nvidia's market value and forced every major AI lab to rethink
Summary
Baidu says ERNIE 5.1 pre-training cost is 6% of what comparable AI models spend. Despite this, the model is ranked fourth globally on the LMArena Search leaderboard. Baidu compressed the model to roughly one-third the total parameters of its predecessor, ERNIE 5.0, without sacrificing flagship-level performance. To put that in perspective, training a frontier AI model typically costs several millions (if not billions) of dollars in compute.