Source details
- Original source
- The Decoder
- Published
- 2026-05-11
- Primary topic
- Foundation Models
Why it matters
Model launches, benchmark jumps, API upgrades, context window changes, and frontier LLM competition. Use the original source for the full report, then use the directory shortcuts below to compare the products and workflows the story points toward.
What happened
Baidu's Ernie 5.1 uses just a third of its predecessor's parameters and reportedly cost only six percent of what comparable models require to pre-train. That's possible thanks to a "Once-For-All" approach that extracts smaller sub-models from a single training run. On the Search Arena leaderboard, Ernie 5.1 ranks 4th globally, behind two Claude Opus variants and GPT-5.5 Search. The article Baidu's Ernie 5.1 cuts 94 percent of pre-training costs while competing with top models appeared first on The Decoder .
What to do next
Compare the hosted model pages first, then check the related tools and buyer guides before changing workflow standards.
Baidu's Ernie 5.1 uses just a third of its predecessor's parameters and reportedly cost only six percent of what comparable models require to pre-train. That's possible thanks to a "Once-For-All" approach that extracts smaller sub-models from a single training run. On the Search Arena leaderboard, Ernie 5.1 ranks 4th globally, behind two Claude Opus variants and GPT-5.5 Search. The article Baidu's Ernie 5.1 cuts 94 percent of pre-training costs while competing with top models appeared first on The Decoder .
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