If you're building with LLMs in 2026, you already know the pain: API costs that creep up silently until your bill arrives and you wonder what happened.
I've been there. Running GPT-4o, Claude, Gemini across different projects — and having zero visibility into how many tokens I'm actually burning in real time. The provider dashboards are always delayed, and switching between three different billing pages gets old fast.
The Problem Nobody Talks About
Most developers track everything — CPU usage, memory, request latency — but token consumption? That's usually an afterthought. You find out you blew through your budget after it happens.
The feedback loop is broken. You can't optimize what you can't see.
What Actually Helped Me
I started using TokenBar — it's a dead-simple macOS menu bar app that shows your token usage across providers in real time. No browser tab to keep open, no dashboard to check. It just sits in your menu bar and updates live.
What I like about it:
- Always visible — glanceable counter right in the menu bar
- Multi-provider — tracks OpenAI, Anthropic, Google, etc.
- Lightweight — doesn't eat resources like a browser tab would
- $5 lifetime — not another subscription to forget about
The Bigger Point
Whether you use TokenBar or build your own solution, the takeaway is simple: make your LLM costs visible in real time. Don't wait for the monthly bill.
Set up alerts. Track per-project. Know your burn rate while you're coding, not after.
The devs who are shipping AI features sustainably in 2026 aren't the ones with the biggest budgets — they're the ones who actually know where their tokens are going.
What tools are you using to track LLM costs? I'd love to hear what's working for others.
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