Decision Models Gain Ground as Cost-Effective Alternatives to LLMs

4 Nov 2026, 8:30 am · 23h ago · 1 min read · Inc42

Decision models are emerging as an enterprise-friendly alternative to generative large language models by returning structured scores, probabilities, and definitive outputs rather than conversational prose. Designed for bounded, auditable enterprise workflows, these models reduce latency and token costs compared to standard LLMs. Global tech giants such as OpenAI, Microsoft, AWS, and Cloudflare are exploring the space, while Indian startups are also launching proprietary architectures. Homegrown developments include PurpleTalk's Sthānika lab releasing its model Sieve and ConvAI Innovations rolling out Laya, an open-weight decision model designed to run locally on consumer devices.