How do model routers compare to individual models on real agentic tasks? Introducing the Vals Router Index. Routers promise to balance quality and cost across a fast-moving model frontier. We put that promise to the test with an independent evaluation of five routers (OpenRouter Auto, FireRouter, Ramp Router, Jev, Fugu Max) against every single model on the Vals Index, using the same agents, ~1,250 tasks and graders across finance, coding, law and tax. We found that routing didn’t consistently deliver better value. Every router was beaten on both score and cost by at least one single model.

Rolling something out to an entire engineering org means dealing with the less fun stuff: budgets, billing, data controls, and more. We just shipped a bunch to make it easier for Admins to bring teams onboard: 1. Org management: Invite engineers and assign co-admins. Everyone gets their own API key, a one-line install for their coding agents, and routing strategies for what they're building. 2. Policies: Configure which models and providers people can use, and set data retention policy at the org and individual levels. 3. Spend controls: Set budget caps for the org, each individual, and each API key. See spending across the org. 4. Key management: See everyone’s key, share provider keys across the org, let personal keys take precedence, and control fallback to Ramp's shared key. 5. Payments: Prepay with a card or pay monthly based on usage. 6. One Ramp account, one bill: Already use Ramp? Sign in with your existing Ramp account and put Router usage on your monthly Ramp statement. We want every engineer to have the best setup for their work, without making finance and IT nervous about what it's all going to cost.

We at Ramp tried a bunch of agent harnesses and ended up building our own. Cloud-native, model-agnostic, tailored to our infrastructure and product. And we published how we built it: builders.ramp.com/post/build…

Today, Ramp raised $1.85B at a $60B valuation. Seven years ago, Karim and I wrote our mission on a Post-it: “Save companies time and money.” Our mission hasn't changed. It’s just gotten bigger.

Grok 4.7. 50% off until October 6. We partnered with @spacexai to make your token spend go further. Get your API key at router.com.

Here's a quick look into how we're using @typesafeai's Jev here at Router.com. We're still innovating with this a ton here at @tryramp , so follow along!

New from Ramp data: the latest threat to the AI trade. AI companies' revenues are heavily dependent on a small set of customers. 80% of OpenAI and Anthropic's enterprise revenues come from 1% of their customers, and it's not getting better. This is a level of concentration risk unseen in any other software category we track. The companies in the top 1% skew heavily toward the tech sector and AI products and services. What happens in a market correction? All these companies are highly correlated, and an increasing share of our economy is invested in them. Especially as we approach blockbuster IPOs for OpenAI and Anthropic.