Cut your AI spend with AI Gateway's Auto Router

From our conversations with companies at every stage of their AI adoption journey, we've seen some common patterns. First, there is an exploration period as you bring on every new tool, dole out API keys freely, and let the tokens flow. Then, you converge on the canonical tools for your organization for agentic coding, for non-technical workflows, for running and deploying agents. As companies formalize their AI adoption, they want to manage and oversee token spend for users, but budgets and rules only go so far. The best savings are the ones users never notice.

Today, we are releasing Cloudflare's Auto Router in public beta, available through AI Gateway. Set your model to cloudflare/auto and the Auto Router will automatically route each request to a model that is capable enough for the task, without requiring an end user to think about model selection. Our early results using the Auto Router internally through our OpenCode harness show a cost savings of up to 30% when compared to using only frontier models like OpenAI Sol and Anthropic Claude Opus.

From our own experience tracking AI spend at Cloudflare, we’ve learned managing costs requires a multipronged approach. Previously, we talked about how to set budgets and limits around AI spend, and how to see who is spending across your organization by linking employees to their AI usage.

In many harnesses, including OpenCode, Claude Code, and Codex, individual users still select models manually. Of course, not all tasks are created equal, and often individuals end up using models that are overkill for their work. For example, you don't need Opus-level intelligence if you're looking to summarize an email or chat threads. However, you wouldn't want to block that model completely from your security engineering team.