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Open weightsAnt Group (Ling Team)/10 trustVerified
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Ling-Plus

Ant Group's 290B-parameter open MoE flagship, trained cheaply on non-premium GPUs.

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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

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Pricing

Free quota

API access

Weights

Open weights

Released

March 10, 2025

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

reasoningmultilingualresearch

Trust score — 8/10

/10 trustVerified

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.

Sources