Samaya Releases Sterling: 3B-Active Model Outperforms Claude Fable 5.1 in Financial Research
Samaya AI released Samaya Sterling, a model with only 3B active parameters that outperforms Claude Fable 5.1 on financial research tasks. By co-training the model with its harness and using condenser/compactor mechanisms, Sterling achieves an 11x cost reduction while maintaining competitive accuracy, though results are self-reported and performance drops on the hardest queries.
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▲ Marktechpost AI · 2026-10-30 07
▲ Samaya AI just released Samaya Sterling, a 3B-active model that beats Claude Fable 5.1 on financial research.
The key idea is co-training the model with its harness. Sterling is Nemotron 3.5 Lightning (30B MoE, 3B active), post-trained in 4 stages: 2 SFT stages, then offline and online GRPO. A condenser and a compactor keep long research inside a small model's reach.
On FrontierFinance, Sterling scores 58.9% vs 55.9% for Fable 5.1. Cost per question drops from $6.89 to $0.61, about 11x lower. It is a trade-off though: latency is 282 s vs 268 s, the hardest third of questions sits at 45.2%, and all results are self-reported on Samaya's own benchmark....
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