Samaya AI Releases Sterling: A 3B-Active Finance Research Agent Model that Beats Claude Fable 5.1 on FrontierFinance at 11x Lower Cost
Samaya AI's Sterling, a 3B-active finance research agent, scores 58.9% on FrontierFinance at $0.61 per question, beating Claude Fable 5.1's 55.9% at $6.89.
Key Takeaways
- Key Highlight：Samaya AI's Sterling, a 3B-active finance research agent, scores 58.9% on FrontierFinance at $0.61 per question, beating Claude Fable 5.1's 55.9% at $6.89.
- Key Topics：Claude, Agent, Samaya, AI
Samaya AI has released Sterling, a finance research agent model built by post-training the Nemotron 3.5 Lightning base. The model uses 3B active parameters and is designed specifically for financial analysis tasks.
On the FrontierFinance benchmark, Sterling achieves 58.9% accuracy at a cost of $0.61 per question. This outperforms Claude Fable 5.1, which scores 55.9% but costs $6.89 per question — roughly 11 times more expensive.
The result highlights how smaller, domain-tuned models can rival or exceed frontier general-purpose models on specialized tasks while dramatically lowering inference costs. For financial institutions, this could make AI-driven research more economically viable at scale.
Sterling's release also underscores a growing trend of post-training open-weight models for niche applications, potentially accelerating adoption of AI agents in finance and other data-heavy sectors.
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