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Command line interface (CLI) demonstrating "Meet Together Link" for running open models within Claude.

Editorial illustration for Meet Together Link: A Free CLI for Running Open Models Inside Claude and Other Code Tools

Together Link: Free CLI to Swap Models in Claude

Meet Together Link: A Free CLI for Running Open Models Inside Claude and Other Code Tools

• 4 min read

Together AI pushed a free command-line tool into beta this week that lets developers swap the model behind their coding agent without touching the agent itself. Together Link, released under an MIT license, plugs into tools already sitting on most engineers' laptops: Claude Code, Claude Desktop, Codex, ChatGPT Desktop, OpenCode, and Pi. Install takes one command on macOS or Linux, and the only prerequisite is a Together API key. No local proxy, no daemon running in the background.

The pitch is straightforward. Keep the interface you know, route the work to open models hosted on Together's infrastructure, and cut the invoice. Together's launch post points to a real cost problem: engineering teams routinely spend tens of thousands to millions of dollars a month on closed models, often using the same premium model for a one-line typo fix and a full module rewrite.

The company argues that gap no longer justifies itself, citing Kimi K3 and GLM 5.3 for heavy coding tasks, with GLM 5.3 Flash and DeepSeek V4.1 Flash handling lighter, everyday requests. Since this is a beta release, Together warns that commands and routing could still shift.

Supported tools include Claude Code, Claude Desktop, Codex, ChatGPT Desktop, OpenCode, and Pi. The idea is simple: keep the harness, swap the model, and shrink the bill.

Why this matters

For developers already living inside Claude Code or Codex, Together Link removes the usual excuse for sticking with a single closed model: the switching cost. One install command, one API key, and the harness you already know how to use stays put while the model underneath becomes negotiable. That matters for founders watching token bills climb, since routing everyday tasks to GLM 5.3 Flash or DeepSeek V4.1 Flash instead of a frontier model is a direct line-item cut, not a hypothetical one. For researchers, it's a cheap way to A/B test open models like Kimi K3 against proprietary ones without rebuilding tooling each time.

The beta label is worth taking seriously, though. Commands, routing, and the model lineup are explicitly still in flux, so anyone wiring this into a production workflow today should expect breakage, not stability. Together AI has an obvious incentive here too: every token routed through Link is a token billed on their infrastructure. Worth watching whether the model list broadens, and whether Anthropic, OpenAI, or other harness makers respond kindly to a free CLI quietly rerouting traffic off their own models.

Common Questions Answered

What coding tools does Together Link integrate with?

Together Link integrates with Claude Code, Claude Desktop, Codex, ChatGPT Desktop, OpenCode, and Pi. This wide compatibility means developers can use the tool across multiple popular coding environments without switching platforms.

How does Together Link help reduce token costs for developers?

Together Link allows developers to route everyday coding tasks to more cost-effective open models like GLM 5.3 Flash or DeepSeek V4.1 Flash instead of expensive frontier models. By swapping the underlying model while keeping the same coding interface, developers can achieve significant cost savings on their token bills.

What are the installation requirements for Together Link on macOS or Linux?

Installation requires only one command on macOS or Linux, and the only prerequisite is a Together API key. No local proxy or background daemon is needed, making the setup process straightforward for developers.

Why does Together Link's model-swapping capability matter for developers using Claude Code or Codex?

Together Link removes the switching cost barrier that typically locks developers into a single closed model by allowing them to keep their familiar coding interface while changing the underlying model. This flexibility enables developers to negotiate which model to use based on cost and performance needs without learning new tools.

Under what license was Together Link released?

Together Link was released under an MIT license, making it freely available for developers to use and modify. This open-source approach aligns with Together AI's goal of democratizing access to open model deployment.

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