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Claude + GPT Through One API: A 2026 Developer Guide

One Integration for Claude and GPT

Using Claude and GPT through a single unified API endpoint lets you compare models, route workloads, and manage access through one integration. Your application keeps a consistent connection configuration while selecting the model appropriate for each request.

59API provides pay-as-you-go access to native, official-quality Claude and GPT models without model downgrades. Its low-cost relay pricing makes it an attractive option for developers running coding assistants, document workflows, or production applications. In 2026, the practical goal is predictable behavior and a lower cost per successful task.

1. Configure the Endpoint and Credentials

Create a 59API account, generate an API key, and select the models you want to use. The service origin is https://api.59api.com. Copy the exact base path and model identifiers from its integration settings; display names and API identifiers can differ.

For an OpenAI-compatible integration, check whether the documented base URL includes /v1. If it does, configure https://api.59api.com/v1 as the SDK base URL. Avoid adding the version prefix twice or using a complete operation URL as the base.

• Store the key in a server-side environment variable or secret manager.
• Keep separate credentials and spending controls for development and production where available.
• Never embed a relay API key in browser JavaScript, mobile application bundles, or public repositories.

2. Call Both Models with the OpenAI SDK

Install the current Python client with pip install --upgrade openai. Set AI_API_KEY, AI_BASE_URL, and AI_MODEL_ID in your environment. Use the exact model identifier listed by 59API.

A minimal Chat Completions request is: import os; from openai import OpenAI; client = OpenAI(api_key=os.environ["AI_API_KEY"], base_url=os.environ["AI_BASE_URL"]); result = client.chat.completions.create(model=os.environ["AI_MODEL_ID"], messages=[{"role": "user", "content": "Explain database indexing in three sentences."}]); print(result.choices[0].message.content)

Run the request with a supported Claude identifier, then repeat it with a supported GPT identifier. This verifies that both models work through the same client configuration. You can then replace the environment-based selection with application routing.

OpenAI SDK compatibility does not make every model feature interchangeable. Test streaming, tool calls, structured output, image input, and token-limit parameters for each model and API operation you intend to use.

3. Route Requests by Measured Results

Build a small evaluation set from real tasks: code fixes, extraction, summaries, or customer questions. Measure correctness, response time, and total billed usage. Start simple tasks on a cheaper model, and escalate when validation fails or the task requires deeper reasoning.

59API’s Claude options include Opus, Sonnet, and Haiku families alongside GPT models. Available versions and prices can change, so keep model identifiers in configuration. Pin a specific version when offered, and rerun evaluations before changing it.

4. Connect Claude Code and Codex

59API supports Claude Code and Codex, but each tool needs its own connection configuration. Follow 59API’s current instructions for the tool’s base URL, authentication method, and model selection. An OpenAI SDK configuration should not automatically be copied into a client expecting an Anthropic-compatible interface.

Validate the setup with a small repository task. Check file edits, tool execution, streaming, and error handling before allowing longer coding sessions. Set session budgets or limits wherever the client supports them.

5. Control Cost and Handle Failures

59API is positioned among the cheapest relays, with usage-based billing and a referral rebate. Compare current input, output, and any applicable cache pricing against your workload. Treat referral rebates as an additional saving; calculate your operating budget using ordinary usage charges.

Log the selected model, latency, token usage when returned, and request identifiers. Use bounded retries with exponential backoff for temporary failures. Before retrying a tool action, check whether it already completed to prevent duplicate writes or purchases.

Track cost per accepted result, and review data-handling terms before sending sensitive content. If you want to test a lower-cost shared endpoint, sign up for 59API and run a small Claude-versus-GPT evaluation using your own tasks.

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