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burn-o-meter

See what your AI coding agents really cost. Tokens, spend, cache efficiency and rate limits for Claude Code, Codex, OpenCode and Kimi Code — read from the logs they already write on your machine. No account, no telemetry, nothing sent anywhere.

The burn-o-meter menu bar popover: spend for the day, a per-hour chart, Claude and Codex rate limits, cache efficiency and a per-model breakdown.

Install

pipx install burn-o-meter      # or: uv tool install burn-o-meter

Then:

burn-o-meter scan && burn-o-meter today
burn-o-meter statusline install   # Claude's rate-limit %, live from Claude Code

Requires Python 3.11+. The macOS menu bar app is a separate, optional build — see installing.

What it gets right

Every figure is checked against real logs, because each agent's format hides a trap that documentation never mentions:

  • Claude Code writes the same message up to 7 times — summing naively overcounts by about 2.5×. Subagents keep their turns in separate files, and write a message while it streams.
  • Codex repeats its final usage event, and restates each turn in a second record.
  • A published rate of 0 means "included in your plan", not "free"; a model on your own hardware is not metered, never $0.00.
  • Ollama truncates prompts past its context window and reports what it read.

Costs on a subscription are labelled API-equivalent, never presented as a bill, and a model with no known rate shows as unpriced rather than guessed.

Private by construction

It never reads prompts or completions, never opens credential files, and makes no network call except burn-o-meter pricing refresh, which you run yourself. Each of those is enforced by tests rather than promised — SECURITY.md lists them.

Documentation · Changelog · Issues

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Release files for burn-o-meter 0.6.5

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0.6.6

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0.6.5 This release

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