Kimi K3 token calculator
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Paste any prompt, document or code below to get an exact Kimi token count and what it costs at Kimi K3's $3 / 1M input and $15 / 1M output rates. The tokenizer runs in your browser — your text is never uploaded.
- Tokens
- 0
- Words
- 0
- Cost as input
- $0.00000
- Cost as output
- $0.00000
Uses 0.00% of Kimi K3's 1,024K context window. Note: K3 tokenizer not yet published; K2 tokenizer used as proxy until open-weights release.
Why exact token counts matter
Every Kimi K3 API call is metered in tokens, not characters or words. Budgeting with the common "4 characters per token" heuristic can be off by 30% or more on code, JSON, or Chinese text — enough to blow a monthly budget or silently truncate a prompt against the 1M-token context ceiling. Counting with the model's real tokenizer removes the guesswork: what you see here is what Moonshot's billing meter sees.
Three things people check with this tool
- Prompt budgeting: confirm a system prompt + few-shot examples stay under a target size before shipping. A 2,000-token system prompt resent on every call costs $6 per thousand requests in input alone — caching aside.
- Context fit: the calculator shows what percentage of K3's 1,048,576-token window your text occupies. Full-repo dumps and long transcripts fit more often than you'd think — see what fits in 1M tokens.
- Output cost estimates: paste a typical model response to see the $15/M side of the bill. Output is 5× input per token, so trimming verbose responses pays disproportionately.
From token count to monthly bill
A single count is a data point; a budget is volume × price × cache behavior. Feed your averages into the Kimi K3 cost calculator to model a full month — it handles cache hit rates, retries, and side-by-side comparisons with DeepSeek V4, GPT-5.5 and Claude on identical workloads. For the raw rates and how we verify them, see Kimi K3 pricing.
Frequently asked questions
How do I count tokens for Kimi K3?
Paste your text into the calculator above. It loads the Kimi tokenizer (published by Moonshot on Hugging Face) directly in your browser and returns the exact token count, plus what that text costs as API input ($3/M) or output ($15/M). Nothing you paste leaves your device.
How many tokens is one English word for Kimi models?
Roughly 1.2–1.5 tokens per English word is typical for modern BPE tokenizers like Kimi's; code and non-Latin scripts tokenize denser. The calculator gives you the exact number rather than a rule of thumb.
Is this the official Kimi K3 tokenizer?
Moonshot has not yet published K3's own tokenizer files (weights are due by July 27, 2026). Until then the calculator uses the Kimi K2 tokenizer as a documented proxy — the K-series has shared tokenizer lineage — and will switch to the official K3 files the day they appear on Hugging Face.
Does the calculator send my text to a server?
No. The tokenizer runs entirely client-side via WebAssembly. Your text never leaves the browser, which also means the tool works for confidential prompts and code.