Samaya AI launches Sterling financial research model with lower per-query cost than Claude Fable 5.1
Samaya AI has introduced Samaya Sterling, a financial research agent model built on NVIDIA Nemotron 3.5 Lightning. In Samaya’s FrontierFinance benchmark, Sterling scored 58.9%, compared with 55.9% for Claude Fable 5.1. The company said the model processes each question at a cost of $0.61, versus $6.89 for Fable 5.1. Sterling is a LoRA post-trained model designed for financial research agent tasks. According to the release, it can plan research, call financial tools, gather evidence, and generate reports. Its training pipeline includes supervised fine-tuning on synthetic trajectories, best-strategy selection, and both offline and online GRPO optimization. Samaya said the model runs on a single H100 80GB GPU using BF16 precision, while service hardware details were not disclosed. Under its highest-effort setting, Sterling reached a score of 60.6% at a cost of $1.83 per question. The information was cited by MarkTechPost.
