Cline vs Roo Code: Which AI Tool Is Right for Your Hardware?
Side-by-side comparison of local model support, GPU requirements, OpenRouter compatibility, pricing, and setup difficulty. Find which tool fits your workflow and hardware.
Cline
Open-source AI coding agent for VS Code. Autonomously explores your codebase, edits files, runs terminal commands, and uses browser automation.
Roo Code
Open-source multi-agent AI coding extension for VS Code. Customizable modes for coding, architecture, debugging, and review — with a smaller system prompt than Cline.
Feature comparison
| Feature | Cline | Roo Code |
|---|---|---|
| Type | coding agent | coding agent |
| Open source | Yes | Yes |
| Pricing | open-source | open-source |
| Platforms | vscode, cli | vscode |
| Local models | Yes | Yes |
| OpenRouter | Yes | Yes |
| Ollama | Yes | Yes |
| GPU needed | Yes | Yes |
| CPU-only | No | No |
| Setup | medium | medium |
Which should you choose?
Choose Cline if
- Autonomous multi-file coding with cloud models
- Codebase exploration and refactoring
- OpenRouter-powered budget coding with DeepSeek
Choose Roo Code if
- Structured plan-then-execute coding workflows
- Budget-conscious development with DeepSeek via OpenRouter
- Local model coding (smaller system prompt than Cline)
Hardware requirements
Cline
24 GB VRAM recommended for local coding models. 12 GB is NOT sufficient for serious agentic coding — Cline's ~15K token system prompt alone consumes significant context. 16 GB is borderline for 14B models at Q4 with short context.
Roo Code
24 GB VRAM recommended for local coding models. Roo Code's ~8-9K system prompt is smaller than Cline's, making it slightly more efficient with limited VRAM, but 12 GB is still insufficient for serious agentic work.
Full compatibility details
Frequently asked questions
- Which is better for local models: Cline or Roo Code?
- Both Cline and Roo Code support local models via Ollama. The choice depends on your specific workflow and hardware.
- Do I need a GPU for Cline vs Roo Code?
- Cline: 24 GB VRAM recommended for local coding models. 12 GB is NOT sufficient for serious agentic coding — Cline's ~15K token system prompt alone consumes significant context. 16 GB is borderline for 14B models at Q4 with short context. Roo Code: 24 GB VRAM recommended for local coding models. Roo Code's ~8-9K system prompt is smaller than Cline's, making it slightly more efficient with limited VRAM, but 12 GB is still insufficient for serious agentic work.
- Which is cheaper: Cline or Roo Code?
- Both Cline (open-source) and Roo Code (open-source) have comparable pricing models.