Paste any text or code and instantly see the token estimate plus the price on Opus, Sonnet, and Haiku, as input and as output, including cache rates. No signup, nothing uploaded.
Paste something to count. Rough rule: 1 token ≈ 4 characters of English, less for code.
100% client-side · nothing uploaded · calibrated for prose and code
Per million tokens, July 2026. Output always costs ~5× input; cache reads cost 90% less than fresh input, the two facts that explain most Claude bills.
Input $15 / MTok · Output $75 / MTok
Cache write $18.75 · Cache read $1.5
The heavyweight, for the hardest reasoning and agentic work.
Input $3 / MTok · Output $15 / MTok
Cache write $3.75 · Cache read $0.3
The default, best cost/intelligence balance for coding.
Input $1 / MTok · Output $5 / MTok
Cache write $1.25 · Cache read $0.1
The economy tier, classification, extraction, high-volume calls.
English prose averages 3.5–4 characters (≈0.75 words) per token. 'The quick brown fox' is 4 tokens; this whole sentence is about 12.
Brackets, operators, and camelCase identifiers split into more tokens per character, budget 25–40% more than prose. This counter detects code and adjusts.
Every call bills the entire prompt (input) plus the response (output), and in a conversation, the whole history is re-sent as input each turn. Long chats compound.
Repeated context (system prompts, codebases) can be cached: 25% extra to write, 90% off to read. It's why Claude Code can hold your repo in context affordably.
count_tokens endpoint, it runs the real tokenizer server-side. For planning, budgeting, and prompt-size sanity checks, this estimator's ±5% is plenty.The AgentsKit kits are token-efficient by design, tight skills, scoped agents, and commands that get more done per call, for engineering and marketing.
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