Migrate to ZCX with RYAN LINDSEY and CR Burrell LLC for cost-effective inference, benefiting from our 90-100% artist cut and dual rights attestation. Sign up for the ZCX LLM credit line now at https://zcx.zctechnologies.org#plans.

by Ryan Lindsey · 2026-06-10

Migrating from Anthropic Claude to ZCX can be accomplished in a single afternoon with minimal disruption to your operations. This guide will walk you through the process of setting up ZCX, adapting your existing code to use the ZCX API, and ensuring that your application performs as expected with regression testing. ZCX offers significant cost savings over Anthropic Claude, with pricing starting at $33 per million tokens for the Business plan, compared to Anthropic's rates, making it an attractive option for teams looking to reduce their inference costs without compromising on quality.

Setting Up ZCX

To begin, sign up for a ZCX account at https://zcx.zctechnologies.org. Choose the plan that best fits your token usage needs: Starter ($99/mo for 1.5M tokens), Pro ($499/mo for 12M tokens), or Business ($1999/mo for 60M tokens). Once your account is set up, you will receive a Bearer token for API authentication.

Route-Through Adapter

The first step in the migration is to create a route-through adapter that allows your application to communicate with the ZCX API. This adapter should handle the differences in API structure between Anthropic Claude and ZCX. Below is an example of how you might implement this adapter in Python:

import requests

ZCX_API_URL = 'https://zcx.zctechnologies.org/v1/chat'
BEARER_TOKEN = 'your-bearer-token-here'

# Function to send a request to ZCX API
# This function should be used in place of the function that sends requests to Claude
# Adjust the function parameters as necessary to match your application's requirements

def send_to_zcx(prompt):
    headers = {'Authorization': f'Bearer {BEARER_TOKEN}'}
    data = {'prompt': prompt}
    response = requests.post(ZCX_API_URL, headers=headers, json=data)
    return response.json()

Regression Testing Strategy

After setting up the adapter, it's essential to conduct a thorough regression testing strategy to ensure that the ZCX models produce results that are consistent with your current setup. This testing should include a wide range of prompts and scenarios to cover all use cases within your application.

Cutover Plan

With the adapter in place and regression testing complete, you can proceed with a cutover plan to switch your application from Anthropic Claude to ZCX. This plan should include a detailed timeline, a rollback strategy in case of issues, and a monitoring plan to ensure that the transition is smooth and that performance meets your expectations.

Conclusion

By following these steps, you can migrate from Anthropic Claude to ZCX in a single afternoon, taking advantage of the cost savings and performance benefits of ZCX's Qwen 2.5 models. To get started, sign up for a prepaid LLM credit line at https://zcx.zctechnologies.org#plans.