Tokenwise

Tokenwise is the debugger your LLM bill didn't know it needed. It's a drop-in proxy that sits between your app and every LLM provider—OpenAI, Anthropic, Google, all of them—and watches every single call happen in real-time. Cost, latency, errors, tokens, quality. All of it. Then it tells you exactly where you're haemorrhaging money and what to do about it. Forty-eight hundred twenty million tokens analysed this month and they've already saved early teams four thousand one hundred twenty-eight dollars. That's not hypothetical savings. That's real money, real teams, happening right now.

Here's the deal: your LLM bill isn't high—it's leaking. Most companies have no idea that 38% of their spend is oversized prompts being loaded on every single call but never actually read. Or that their cache is busted and they're paying for the same FAQ lookup twenty times a day. Or that they're running summarisation on GPT-4 Opus when Haiku would've matched quality 96.4% of the time for a fraction of the cost. Tokenwise shows you each leak, names the fix, and attaches the dollar figure. Then you either apply the fix or you don't—but nothing changes silently. Every optimization is replay-checked against your own quality bar before it touches production.

They've already shown teams savings of 31%—dropping a $680 monthly bill to $470 without touching output quality. And the best part? It takes five minutes to set up. One line of code, no SDK rewrite, keys never stored, under 50ms of overhead. Observe-only by default means you can watch it run for weeks before flips anything. They're charging nine dollars fifty cents a month with an EARLY50 code. That's less than most companies spend on a single GPT-4 API call in an hour. Welcome to the world where your LLM spend is finally visible.