By ANI
Publication Date: 2026-10-17 04:01:00
Representational Image (Image Credit: IANS)
Hyderabad: Sthanika, the applied AI research lab of the PurpleTalk group, today announced that its Sieve 31B model has ranked second globally on the Jev Decision Index, an open benchmark hosted on Hugging Face for AI models built to make rapid decisions. Sthanika’s decision models ranked ahead of Jev and Perplexity Decider v1.1.
Sieve 31B recorded a Full score of 63.8, combining the public test suite with private tests run by the benchmark’s maintainers. It ranked second on the public tests with a full score of 62.5. Sthanika’s Sieve 31B is a cost-efficient decision model that agents can call as one component in a larger system, and it makes decisions more reliably than general-purpose large language models.
Many AI agents today send every task to an LLM, including planning and routine decisions that a decision model can handle more cheaply. That cost grows as agents take on more of the work people used to do. General-purpose LLMs are tuned to converse with people, which makes them the right tool for language and an expensive one for choosing between defined options thousands of times a day. Comparatively, a decision model is extremely inexpensive for those tasks.
Indian Lab Sthanika’s Sieve 31B decision model ranks second in the Jev Decision Index (Image Credit: LinkedIn/Sthanika AI)
The wider Sieve family includes Sieve 2B Plus, Sieve 4B and Sieve 9B Plus each placed among the top in their size classes on the same…
