AitopkitLiner, the AI agent solutions company, has launched Liner Model API — a model-routing API designed to cut enterprise LLM costs by automatically sending each request to the most cost-efficient model capable of handling it, rather than defaulting to an expensive frontier model for everything.
The pitch targets a real inefficiency: companies routinely pay flagship-model prices for AI tasks — simple questions, routine classification, light reasoning — that cheaper models handle just as well. Liner's system evaluates the expected quality and cost of candidate models per request and routes it to the cheapest one that clears the bar, from everyday questions to demanding coding, reasoning, and deep-research workloads. Crucially, it picks one model per request rather than calling several at once, avoiding the extra token spend of multi-model approaches.
For credibility, Liner points at its own bills: after deploying its Liner Orchestrator internally, the company says its token expenses in August dropped by more than 50% compared with the first half of 2026. The developer pitch is simplicity — one API across workloads that would otherwise need ongoing model selection and cost optimization. It is the same cost-pressure logic behind this week's wave of cheaper models (Claude Opus 5.5, GPT-6 Sol and Luna): the frontier race is now about price-performance per token, not just raw capability.