OpenClaw Multi-Model Setup: A Practical Guide to Using Claude, DeepSeek, and Gemini Together
This article explains how to use multiple AI models simultaneously in the OpenClaw platform, including Claude, DeepSeek, Gemini, GPT-4o, and MiniMax M2.7. It provides details on the setup, routing modes, and benefits of this approach.
Why it matters
This approach to using multiple AI models can help organizations optimize cost, quality, and reliability of their AI-powered applications and workflows.
Key Points
- 1OpenClaw users can connect to multiple AI models through a gateway instead of using a single provider
- 2Supported models include Claude Sonnet, DeepSeek-V3, Gemini Flash, GPT-4o, and MiniMax M2.7
- 3Routing modes allow users to optimize for highest quality, balanced cost/quality, lowest cost, or unlimited free usage
- 4Benefits include 42% monthly cost savings, eliminated rate limits, and automatic failover between models
Details
The article discusses a practical approach to using multiple AI models simultaneously in the OpenClaw platform. Instead of relying on a single API key and provider, users can set up a gateway that connects to various models, including Claude Sonnet for complex reasoning and architecture, DeepSeek-V3 for routine coding tasks, Gemini Flash for fast summarization, GPT-4o for code review, and MiniMax M2.7 for basic free-tier tasks. The setup process is described as simple, taking only 2 seconds to install the TeamoRouter skill. The article outlines four routing modes that allow users to optimize for quality, cost, or a balanced approach. Key benefits include 42% monthly cost savings, eliminated rate limits, and automatic failover between models if one provider experiences downtime.
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