Ever thought a smaller model could outperform the giants? That's exactly what's happening here⚡

ToolOrchestra runs on an 8B orchestrator that's smart enough to delegate tasks. Need complex calculations? It routes to specialized math tools. Code debugging? Sends it to code agents. Research queries? Taps into web tools or calls frontier LLMs when needed.

The results? Better accuracy than GPT-5 while slashing costs by roughly 30%. Instead of throwing everything at one massive model, this approach picks the right tool for each job📈

It's like having a team of specialists rather than one generalist trying to do everything. Sometimes breaking down big problems into smaller, targeted solutions just works better.