inclusionAI

NVIDIA describes 3 stacked optimizations for Mixture-of-Experts (MoE) inference on a single DGX Spark. On Ant Group inclusionAI's 124B Ling-3.0-flash, GSM8K decode throughput rose 42.5% with no detectable accuracy change.

inclusionAI has released Ling-3.1-flash-1019, a post-training upgrade of Ling-3.1-flash with 560B total parameters, 25B active per token, and a 1M-token context window. The company reports a score of 44 on the Artificial Analysis Intelligence Index v4.3.2, up from 41 for its predecessor.

inclusionAI has released Ling-3.0-flash-Sante, a healthcare-specialized model built on Ling-3.0-flash with 124B total and 5.1B active parameters per token. Weights are on Hugging Face and ModelScope, and training extends to 256K tokens. The company labels it a research model, not a medical device.

inclusionAI has released Ling 3.1 Flash, a hybrid reasoning mixture-of-experts model with 560B total and 25B active parameters and a 262K-token context window. It is listed as free on OpenRouter through NovitaAI. No benchmark scores have been published on the listing.

Ant Group's inclusionAI released Ling 3.0 Flash, which scores 38 points on the Artificial Analysis Intelligence Index — the highest of any open model under 124 billion total parameters. The model cuts its hallucination rate from 97 to 44 percent versus its predecessor and ships under an MIT license.