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by Ryan Lindsey · 2026-07-24

Migrating from Anthropic Claude to ZCX can be a seamless process, especially if you're looking to reduce costs on your inference needs. This guide will walk you through the steps to migrate, including setting up a route-through adapter, a regression test strategy, and a cutover plan. ZCX offers significant cost savings, with pricing undercutting Anthropic and OpenAI by 60-80% per 1M tokens. The ZC Inference Exchange serves Qwen 2.5 72B and 32B models on dedicated NVIDIA GB10 silicon, ensuring high performance and reliability.

Setting Up a Route-Through Adapter

To migrate from Claude to ZCX, you'll need to set up a route-through adapter. This adapter will allow you to test ZCX in parallel with your existing Claude setup, ensuring that your workflows can handle the switch without disruption. Begin by configuring your API endpoints to use the ZC Inference Exchange's OpenAI-compatible API at /v1/chat, using Bearer token authentication. Here's a sample code snippet to illustrate the setup:

import requests

def call_zcx_api(prompt, token):
    headers = {
        'Authorization': f'Bearer {token}',
        'Content-Type': 'application/json'
    }
    data = {
        'model': 'qwen2.5:72b',
        'messages': [{'role': 'user', 'content': prompt}],
        'temperature': 0.7
    }
    response = requests.post('https://zcx.zctechnologies.org/v1/chat', headers=headers, json=data)
    return response.json()

# Example usage
response = call_zcx_api('What is the capital of France?', 'your_bearer_token_here')
print(response)

Regression Test Strategy

Before fully switching to ZCX, it's crucial to perform a thorough regression test. This involves comparing the outputs from Claude and ZCX for a representative set of inputs to ensure that the quality and consistency of responses meet your requirements. You can automate this process by scripting a series of test cases and comparing the outputs.

Cutover Plan

Once your tests are complete and you're satisfied with the performance of ZCX, you can proceed with the cutover. This involves updating your API calls to point exclusively to ZCX. Ensure that you monitor the performance and response times post-cutover to identify any potential issues early.

Conclusion

By following these steps, you can migrate from Anthropic Claude to ZCX for more cost-effective inference services. With ZCX, you benefit from competitive pricing and access to powerful models on dedicated hardware. To get started, visit our plans page and choose the plan that best fits your needs.