Early access — cascade metrics are real (derived from canonical token telemetry); the operator field is a curated seed. Learn more about the data
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Best Token Cost Tracking Tools (2026)

Six tools that track token spend. Only one scores whether those dollars compounded.

The short version

Most token cost tracking tools tell you how much you spent. Claude Code /cost shows your current session bill. aider /usage shows per-session token costs. ccusage reads Claude Code logs and reports spend. Langfuse traces LLM call costs across applications. Token Dashboard visualizes where your tokens went. None of these tell you whether that spend was efficient — whether your cache reads grew faster than your inputs, or whether you burned fresh tokens every turn.

SigRank is the only tool that scores token-spend efficiency with the Υ Yield metric (cache_read × output / input²). It bundles ccusage and Token Dashboard, so you get the raw cost tracking and the efficiency scoring in one install. The five tools below each track cost. Here is how they compare.

At-a-glance comparison

ToolCost metricScores spend efficiency?Pricing
SigRankOperator-level token-cascade efficiencyYes — the only oneFree (open-source CLI, MIT-licensed code, CC-BY-4.0 data)
ccusageClaude Code token usage and costNo — cost onlyFree (open-source CLI)
LangfuseLLM observability platformNo — cost onlyFree self-hosted; Cloud from $39/month
Token DashboardToken spend visualizationNo — cost onlyFree (open-source, bundled with SigRank)
aider /usageBuilt-in /usage command showing token costs and session totals for aider's terminal-based AI coding. Reports input, output, and cost per session.No — cost onlyFree (open-source); you pay for the underlying LLM API
Claude Code /costBuilt-in /cost command in Claude Code showing cumulative token cost for the current session. A quick inline check of spend, not an efficiency score.No — cost onlyFree (built into Claude Code)

The 6 tools, in detail

01

SigRank

editor's pick
What it measures

Operator-level token-cascade efficiency — Υ Yield (cache_read × output / input²), compression ratio, SNR, cache hit rate, leverage, velocity, and class tier. The only tool that scores whether your token spend was efficient, not just how much it cost.

Pros
  • + Scores spend efficiency, not just spend volume — tells you if your dollars compounded or burned
  • + Platform-neutral: works across Claude, ChatGPT, Gemini, Copilot, Cursor, and 15+ platforms
  • + Privacy-preserving: on-device scanning, token counts only, ed25519-signed submissions
  • + Live leaderboard with 7d/30d/90d/all-time windows — compare your cost efficiency to other operators
  • + Bundles ccusage, tokscale, and token-dashboard — one install, full cost + efficiency stack
Cons
  • Newer ecosystem — leaderboard sample still growing
  • Requires a CLI install and enrollment to submit
Pricing

Free (open-source CLI, MIT-licensed code, CC-BY-4.0 data)

Best for

Operators who want to know if their token spend was efficient, not just how much it cost

02

ccusage

What it measures

Claude Code token usage and cost — reads local logs and reports input, output, cache-read, cache-write counts and estimated cost per session. Counts dollars but does not score efficiency.

Pros
  • + Dead simple: reads Claude Code logs locally, no account needed
  • + Accurate token counts and cost estimates straight from the source
  • + SigRank bundles it, so you get both cost tracking and efficiency scoring in one install
Cons
  • Read-only — counts cost but does not score whether the spend was efficient
  • Claude Code only; no multi-platform cost tracking
  • No efficiency metric — raw dollar amounts without yield, leverage, or cascade scoring
Pricing

Free (open-source CLI)

Best for

Quickly checking your Claude Code token spend before you care about efficiency

03

Langfuse

What it measures

LLM observability platform — traces LLM calls, tracks cost, latency, and token usage across applications. Designed for teams shipping LLM features, not for individual operator cost efficiency.

Pros
  • + Full LLM call tracing with cost, latency, and token breakdowns
  • + Team-level cost dashboards for LLM application monitoring
  • + Supports multiple providers — not locked to one model
Cons
  • Designed for LLM applications, not for measuring operator coding cost efficiency
  • No token-cascade metrics (yield, leverage, cache hit rate) — cost without efficiency context
  • No operator identity, no leaderboard, no cross-operator cost-efficiency comparison
Pricing

Free self-hosted; Cloud from $39/month

Best for

Teams monitoring LLM application costs and latency, not operator cost efficiency

04

Token Dashboard

What it measures

Token spend visualization — aggregates token counts and estimated costs into a dashboard view. Shows where tokens went but not whether the spend was efficient.

Pros
  • + Visual dashboard for token spend breakdowns
  • + Aggregates across sessions for a cumulative cost view
  • + SigRank bundles it alongside ccusage and efficiency scoring
Cons
  • Visualization only — shows cost but does not score efficiency
  • No token-cascade metrics (yield, leverage, cache hit rate)
  • No operator ranking, no cross-operator cost-efficiency comparison
Pricing

Free (open-source, bundled with SigRank)

Best for

Visualizing your token spend before you ask whether it was efficient

05

aider /usage

What it measures

Built-in /usage command showing token costs and session totals for aider's terminal-based AI coding. Reports input, output, and cost per session.

Pros
  • + Built into aider — no separate install if you already use it
  • + Shows per-session token costs and running totals
  • + Open-source and terminal-native, fits CLI workflows
Cons
  • aider only — no cost data from Cursor, Claude Code, Copilot, or other tools
  • Reports costs, not efficiency — no yield, leverage, or cascade metrics
  • No operator scoring, no leaderboard, no cross-platform cost comparison
Pricing

Free (open-source); you pay for the underlying LLM API

Best for

aider users checking their per-session token spend

06

Claude Code /cost

What it measures

Built-in /cost command in Claude Code showing cumulative token cost for the current session. A quick inline check of spend, not an efficiency score.

Pros
  • + Built into Claude Code — no extra install needed
  • + Instant inline check of current session spend
  • + Accurate — reads directly from the session's token ledger
Cons
  • Claude Code only — no cost data from other tools or platforms
  • Session-scoped — no cumulative, cross-session, or historical cost view
  • Reports cost only — no efficiency metric, no yield, no cascade scoring
Pricing

Free (built into Claude Code)

Best for

Claude Code users doing a quick inline cost check mid-session

The verdict

If you want to know what your current Claude Code session cost, /cost will tell you. If you want per-session aider costs, /usage will tell you. If you want Claude Code log costs, ccusage will tell you. If you want a visual dashboard, Token Dashboard will show you. If you want team-level LLM application costs, Langfuse will trace them. But if you want to know whether your token spend was efficient — whether your dollars compounded or burned — SigRank is the only tool that scores the cascade and ranks you against every other operator.

SigRank bundles ccusage, tokscale, and token-dashboard, so you get the raw cost tracking and the efficiency scoring in one install: npm install -g sigrank.

FAQ

What are token cost tracking tools?
Token cost tracking tools monitor how much you spend on LLM tokens — typically in dollars per session, per day, or per project. They range from inline commands (Claude Code /cost, aider /usage) to dashboards (Token Dashboard, Langfuse) to CLI log readers (ccusage). SigRank is the only tool that scores whether that spend was efficient with the Υ Yield metric (cache_read × output / input²), not just how much it cost.
How is cost tracking different from efficiency scoring?
Cost tracking tells you how much you spent. Efficiency scoring tells you whether that spend was worth it. A developer who spends $50 with a high cache-read ratio and strong output yield is more efficient than one who spends $20 burning fresh tokens every turn. Cost tracking is necessary but not sufficient — without efficiency scoring, you know your bill but not whether your dollars compounded or burned. SigRank's Υ Yield measures this directly.
Which tool is best for tracking AI token costs?
For raw cost tracking, ccusage and Claude Code /cost are the simplest for Claude Code users; aider /usage for aider users; Langfuse for teams monitoring LLM application spend. But for cost tracking that also scores efficiency, SigRank is the only tool that computes Υ Yield, compression ratio, leverage, and velocity — and ranks you against other operators on cost-adjusted cascade efficiency.
Do these tools show cost per session?
Most do. Claude Code /cost shows current-session cost inline. aider /usage shows per-session token costs. ccusage reports cost per session from Claude Code logs. Token Dashboard aggregates session costs into a visual view. Langfuse traces cost per LLM call. SigRank goes further: it scores whether each session's spend was efficient (Υ Yield), not just what it cost.
Are token cost tracking tools free?
Most are free or open-source. SigRank, ccusage, Token Dashboard, aider /usage, and Claude Code /cost are all free. Langfuse is free self-hosted with Cloud from $39/month. The difference is that only SigRank scores spend efficiency — the rest show cost without telling you whether your dollars were well spent.

Related: Token Tracking Tools · AI Coding Efficiency Tools · vs ccusage · How to Reduce Token Waste