Tokenwise
A smart LLM proxy that shows where you're overpaying
Tokenwise launched on June 1, 2026 with 143 votes, #232 of 22,647 launches that month and more than 95% of that year's launches.
In plain words
Tokenwise is an OpenAI-compatible LLM proxy that sits between applications and language model APIs to monitor and optimize costs. It provides real-time visibility into every API call—showing costs, latency, errors, and quality metrics—then identifies opportunities to reduce spending by 20-30% without sacrificing performance. Built as a drop-in proxy requiring only a one-line code change, it operates with minimal overhead, never stores API keys, and defaults to observation-only mode until users enable optimizations. It's designed for makers and small teams seeking cost control and visibility without infrastructure changes.
written from the facts on this page · September 2026
From the sources
Tokenwise is a one-line LLM proxy (OpenAI-compatible baseURL) for makers and small teams. It learns from your real requests, shows exactly where you're overpaying, proven with quality checks on your own traffic, not public benchmark, and lets you apply the fix in one click while it verifies the savings in real dollars.
Your AI cost & performance copilot. Save 30%+ on LLM API costs with one line of code.
Production visibility into every LLM call: cost, latency, errors, and quality, in real time. Then cut 20–30% without touching quality. Drop-in proxy · <50ms overhead · keys never stored · observe-only by default, no prod changes. No SDK rewrite, no agent in your stack. A drop-in proxy at the edge, under 50ms of overhead, and your provider keys never stored. Point your app at our drop-in proxy — one line, no SDK rewrite. Observe-only by default means zero changes to production . Turn on optimizations when you’re ready. Every call lands with cost, tokens and latency, sliced by model, app, or tag. Tokenwise flags the waste: oversized prompts loaded on every call, cache misses, and Opus where…from tokenwisehq.com
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