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.
Samaya AI has released Samaya Sterling, a financial research agent model.
The model is built on NVIDIA Nemotron 3.5 Lightning. In Samaya’s FrontierFinance benchmark, Sterling scored 58.9%, above Claude Fable 5.1 at 55.9%. Samaya said the processing cost was $0.61 per question, compared with $6.89 for Fable 5.1.
Sterling is a LoRA post-trained model built for financial research agent tasks. It is designed to plan research, call financial tools, collect evidence, and generate reports. Its training process includes supervised fine-tuning on synthetic trajectories, best-strategy selection, and offline and online GRPO optimization.
The model runs on a single H100 80GB GPU with BF16 precision. Samaya did not disclose service hardware details. In its highest-effort mode, Sterling reached a score of 60.6% at a cost of $1.83.
The details were cited by MarkTechPost.
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