Not all AI models are equal. We recommend combining OpenRouter (free + paid cloud models), Claude (for deep reasoning), and Ollama (for private local inference) — and using them as specialized sub-agents to get the best results for every task.
Each provider has a distinct strength. Using them together is the key.
Instead of using one model for everything, assign different AI models to different roles — just like a human team.
How it works: The Orchestrator (typically Claude, which excels at planning and reasoning) receives your high-level goal. It breaks the task into sub-tasks and delegates each to the best model for that job — a coding task goes to DeepSeek-Coder, a research task to a large context model like Qwen, a writing task to Mistral.
Why does this matter? Different models have wildly different strengths. DeepSeek-Coder outperforms GPT-4 on code benchmarks. Gemma 3 is blazing fast for data extraction on local hardware. Qwen3 has a massive context window for research. Using the wrong model wastes money or produces worse results.
Cost optimization: Route routine, high-volume tasks (summarization, formatting, extraction) to free local Ollama models — zero API cost. Save the paid Claude calls for reasoning, decision-making, and complex multi-step planning where it genuinely outperforms everything else. Your per-month AI cost drops dramatically.
Privacy routing: Sensitive documents or proprietary data? Route those through a local Ollama model — it never leaves your machine. Use cloud models only for non-sensitive general tasks.
Our picks for 2025 — tested and verified by the CallOpenClaw team.