
Chapter 4: LLM Providers
Explore how Cline’s model-agnostic design lets you route tasks via providers, aggregators, or local models—optimizing cost, speed & privacy.


Explore how Cline’s model-agnostic design lets you route tasks via providers, aggregators, or local models—optimizing cost, speed & privacy.

Learn to pick the best LLM in Cline by balancing speed, context, cost, and flexibility—matching models to your specific tasks

Learn how to interpret LLM benchmarks—coding, domain, and tool-use—to match scores with your development needs.

Learn how to choose the right LLM in Cline by understanding trade-offs in speed, cost, reasoning, and multimodality.

Cline works best when your ask is specific. In this blog we review strategies to prompt Cline in an effective way.

Learn how System Prompt Rules guide coding style, security, and workflow ensuring consistency, safety, and alignment in every task.

Learn how System Prompt bridges intent and action with three pillars: Tools, System Info, and User Preferences.

Learn how System Prompt Advanced handles dev tasks: explore code, make diff edits, verify with commands, and test in the browser.