Migrate from Anthropic Claude to ZCX for cheaper inference. Boost artist cuts to 90-100% with RennyJ's Sound Pitch. Sign up for the ZCX LLM credit line now to start saving.

by Ryan Lindsey · 2026-09-07

Migrating from Anthropic Claude to ZCX can be a straightforward process when you follow a structured approach. This guide will walk you through the steps to migrate, including setting up a route-through adapter, devising a regression test strategy, and planning the cutover. ZCX offers significant cost savings over Anthropic, with plans starting at $99 per month for 1.5M tokens, undercutting Anthropic by 60-80% per 1M tokens. Here's how you can make the switch.

Setting Up the Route-Through Adapter

To migrate, you'll need to create a route-through adapter that translates requests from your current Claude API to the ZCX API. This adapter will handle the differences in API endpoints and authentication methods. Below is a sample code snippet for the adapter:

import requests

# Replace with your ZCX Bearer token
zcx_bearer_token = 'your_zcx_bearer_token'

# ZCX API endpoint
zcx_api_url = 'https://zcx.zctechnologies.org/v1/chat'

# Function to route through ZCX API
def route_through_zcx(prompt):
    headers = {
        'Authorization': f'Bearer {zcx_bearer_token}',
        'Content-Type': 'application/json'
    }
    payload = {
        'messages': [{'role': 'user', 'content': prompt}]
    }
    response = requests.post(zcx_api_url, headers=headers, json=payload)
    return response.json()

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

Regression Test Strategy

Before fully committing to ZCX, it's essential to perform a regression test to ensure that the model outputs are comparable to those from Claude. This involves testing a representative sample of your use cases against both models and comparing the results. You should focus on key performance indicators such as accuracy, relevance, and the ability to handle edge cases.

Cutover Plan

The cutover plan should be executed during a low-traffic period to minimize disruption. Here's a basic plan:

1. Pre-cutover Testing: Conduct thorough testing using the route-through adapter and regression tests. 2. Cutover Execution: Redirect traffic to the ZCX API using the adapter. 3. Post-cutover Monitoring: Monitor the system for any anomalies and ensure that the quality of responses meets your standards.

Conclusion

By following these steps, you can migrate from Anthropic Claude to ZCX for more cost-effective inference. With plans starting at $99 per month for 1.5M tokens, ZCX offers a compelling alternative. To learn more about our pricing and plans, visit our website.