Use GPT, Claude and Gemini models in one tool, without juggling accounts

Why developers want more than one model

Different models are good at different things, and they're priced very differently. Many developers want a strong model to plan and review, and a faster, cheaper one to write the bulk of the code. Others just want to keep working when one tool's limit runs out.

Option 1: Switch between separate tools

Run Claude Code, Codex and a Gemini command-line tool side by side and pick one per task.

• Good: each tool is first-class and simple to start.
• Watch out for: separate subscriptions or API keys, separate limits, and copying context by hand from one tool to the next.

Option 2: Route your tool through a gateway

Some tools let you change the API endpoint. Claude Code, for example, supports pointing at an LLM gateway, and a gateway can forward requests to other providers' models.

• Good: one familiar interface.
• Watch out for: you run and secure the gateway, manage every provider key yourself, and some features may behave differently with models the tool wasn't built around.

Option 3: Add MCP servers that call other models

An MCP server can expose another model as a tool, so your main tool can ask it for a second opinion or a draft.

• Good: flexible and open.
• Watch out for: you still bring your own keys, and the main tool usually ends up reading and checking everything itself, so its own usage doesn't drop much.

Option 4: One plugin that routes for you

XCR works like an AI switchboard. Your AI coding tool hands over a coding task, and XCR connects it to suitable models from OpenAI, Anthropic and Google. You don't open extra accounts, manage provider keys or pick a model for every task.

• One account and one balance for every model XCR uses.
• Checks included. XCR runs your project's type check, lint and tests, and repairs failures within the task budget.
• A short report back. Your tool reviews the requirements, files and check results instead of redoing the work.

Hand the heavy lifting to XCR

XCR is a free plugin that works like an AI switchboard for your AI coding tool. It plugs into Claude Code, Codex, Cursor and Grok Build, and takes over the expensive part of the job:

1. Your tool hands the task over. When a request needs more than a small edit (roughly more than 30 lines, or more than one file), it goes to XCR first.
2. XCR does the build. It reads the repository itself, writes the change on a copy of your project, runs your project's own checks (type check, lint, tests) and repairs failures within the task budget.
3. You get a short report. Requirements done, files changed, check results and the exact cost.
4. Your tool reviews and wraps up. It checks the change against your request and finishes anything that needs the internet, such as installing packages.

XCR routes each task to models from OpenAI, Anthropic and Google, so one account covers all of them. Small edits and quick questions stay in your tool, exactly as before.

Pricing: model cost plus 20%, plus $0.02 per task. Credit packs of $5, $10, $25 or $50. No subscription. In our 22-task self-test sample, XCR and GPT-6 Astra each completed 19 tasks, and XCR's estimated cost was 41.8% lower.

New to the idea? Start with how the plugin works, or see how it helps when you hit the Claude Code usage limit.