The Best AI Coding Token Trackers in 2026
There is no single winner — the right tracker depends on whether you want quiet private analytics, a competitive ranking, or one bill that adds up every agent you run.
Quick answer
ccusage for purely private local analytics, tokscale or whoburnedmore if you want a public leaderboard, and whoburnedmore when you need one cross-tool cost view across every agent. 🏆“Best” is the wrong question to ask in isolation. A solo hacker who never wants a byte to leave their laptop and a team lead who needs a shared scoreboard are shopping for opposite things. So this page does two jobs: it lays out the handful of properties that actually separate one tracker from another, and then it scores the four options most developers land on against those properties — honestly, including where the tools we didn't build are simply better.
What makes a good AI coding token tracker?
Every tracker in this space starts from the same raw material: the usage logs that agents like Claude Code, Codex, and Gemini CLI quietly write to disk. The differences show up in what each one does with that data. Five properties tend to decide the choice:
Cross-tool reach
Do you run one agent or six? A tracker that only reads Claude Code leaves your Codex and Gemini spend invisible. The useful ones merge every agent into one timeline.
Leaderboard
Some developers want a private number; others want bragging rights. A public ranking turns usage into a game — great for motivation, irrelevant if you just want an audit.
Cost translation
Tokens are abstract. A tracker that maps them to dollars at each model's real price answers the question managers actually ask: what did this month cost?
Privacy posture
Does anything leave the machine? The honest trackers tell you exactly what they submit and offer a way to stay fully offline when you're on a client's box.
The fifth property is simple: price. The good news for 2026 is that all four contenders below are free to run, so cost never has to break the tie.
ccusage vs tokscale vs whoburnedmore?
These three are the open contenders that most developers compare. They overlap on reading local logs but split hard once you look past the parse:
ccusage — the local analyst
Maintained at github.com/ryoppippi/ccusage, this is the tool that defined the category. It reads your on-disk logs and prints clean daily, weekly, monthly, and session reports for a long list of agents, all without a network call. There is no leaderboard and no public profile — that's a deliberate design choice, not a gap. If your only goal is a precise private breakdown of where your tokens went, ccusage is hard to beat and is the foundation a lot of other tools quietly build on.
tokscale — the ranked dashboard
From github.com/junhoyeo/tokscale, run with npx tokscale@latest, this pairs local parsing with a hosted web dashboard and a global leaderboard. It claims support for more than thirty agents and gives every developer a public profile. If a competitive ranking is the feature you came for, tokscale delivers it directly and supports an unusually wide spread of tools out of the box.
whoburnedmore — cross-tool plus a board
Run with npx whoburnedmore, it reads local logs across 15+ agents, merges them into one cross-tool dashboard, estimates cost per model, and ships an optional public leaderboard. Only daily aggregates ever leave the machine, and a --local flag keeps everything offline when you need it. It sits between the other two: more social than ccusage, more privacy-controlled than a submit-by-default board.
Native dashboards count too
Don't forget the trackers already built into your agents: Claude Code's/usage and /stats, Codex's /status, Gemini CLI's /stats, and Cursor's per-query meter. Each is accurate and zero-setup — but each only sees its own tool, so none of them can give you a single cross-agent total.How do the trackers actually compare?
Lined up against the five properties from the top of this page, the trade-offs become clear. There is no row where one tool wins everything:
| Tracker | Cross-tool | Leaderboard | Cost view | Free | Privacy |
|---|---|---|---|---|---|
| Native /usage, /stats | own tool only | — | partial | never leaves | |
| ccusage | many agents | — | always local | ||
| tokscale | 30+ agents | global | submits totals | ||
| whoburnedmore | 15+ agents | opt-in | --local mode |
The cost view itself is just arithmetic once the logs are parsed — each tracker that shows dollars sums every model's tokens at that model's published rate:
Which token tracker should I use?
Match the tool to the job rather than chasing a single “best” — here is the short version of how to decide:
Want a quiet, private audit?
Reach for ccusage. No account, no submission, and the deepest local report of where your tokens went. It's the answer when outbound traffic is restricted or you simply don't want to be on any board. 🛡️
Want to compete on a ranking?
Both tokscale and whoburnedmore give you a public leaderboard. Pick tokscale if you want a ranking ranked by spend with the widest agent support; pick whoburnedmore if you'd rather opt in to the board only when you want, link a public profile, and keep a private fallback.
Want one number across every agent?
This is where a cross-tool view earns its keep. If you bounce between Claude Code, Codex, Gemini CLI, and a Cursor window, no native dashboard can add them up — whoburnedmore reads all 15+ at once and gives you a single cost figure, with npx whoburnedmore --local available when you want the dashboard without the board.
trackers weighed
cost of every contender
agents in one cross-tool view
Want to go deeper on the two-way fight between the open tools? See the ccusage vs tokscale vs whoburnedmore breakdown, or read the ccusage alternative guide if you already love ccusage and just want a leaderboard on top.
Related guides
A ccusage Alternative With a Leaderboard
Built on the same data as ccusage — with a cross-tool dashboard and a leaderboard on top.
ccusage vs tokscale vs whoburnedmore
A neutral feature-by-feature table of the three main token trackers.
How to Check Your AI Coding Token Usage
The cross-tool overview: one command that totals your token usage and cost across every AI coding agent you run.