
Ling-Plus
Ant Group's 290B-parameter open MoE flagship, trained cheaply on non-premium GPUs.
About
Released in March 2025 alongside Ling-Lite, Ling-Plus is a 290-billion-parameter Mixture-of-Experts model with 28.8 billion activated parameters, trained by Ant Group's Ling team on heterogeneous, lower-specification hardware rather than premium H100/H800 clusters. The team reported roughly 20% lower training compute costs versus high-end hardware, with performance comparable to leading models of similar scale on Chinese and English benchmarks.
Limitations: performance claims are vendor-reported and have not been independently verified at scale; the 290B MoE still requires substantial inference hardware despite the cheaper training story.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 67; Trending score 82/100 from researcher assessment.