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TokenMath.net
100% Client-SideCalibrated Claude Tokenizer (±3%)

Claude Token Counter

Anthropic doesn't ship its Claude tokenizer as an offline library, so TokenMath counts Claude tokens with a calibrated estimate tested in our public tokenizer accuracy benchmark. Expect results within about ±3% for prose and code.

Universal AI Token Counter

Zero-latency, client-side BPE tokenization with real-time multi-model benchmarks.

Tokens (Claude Sonnet 5)
179
Ratio: 4.01 chars/token•Single Call Cost: $0.00036•Context Used: 0.02% of 1,000,000
Prices last updated: 2026-10-02 18:28 UTC
•Verified Anthropic Rates
Content Metrics
Characters
718
Words
94
Lines
11
Est. Read Time
26s
Cost Across Frontier Models for this Workload:
Click any model to select as active target
💡 Workload Optimization:You could spend 98% less by routing this workload to Mistral Small 4 ($0.000026) instead of GPT-6 Astra ($0.00164).
At 100k runs/month, that saves approx. $161.44/mo.
Context Headroom Analyzer(Claude Sonnet 5)
179 / 1,000,000 tokens(0.02% used • 99.98% free)
Claude Sonnet 51M
0.0%
GPT-6 Astra1.05M
0.0%
Gemini 3.8 Flash1.05M
0.0%
DeepSeek-V4.1-Flash1.05M
0.0%
11 lines•94 words•718 characters
Prompts stay in your browser. Calculator inputs are never transmitted.

Claude Models: Context Windows & Token Prices

ModelContext WindowInput / 1MOutput / 1MToken Count Accuracy
Claude Fable 5.11M tokens$10$50Calibrated Claude Tokenizer (±3%)
Claude Opus 51M tokens$5$25Calibrated Claude Tokenizer (±3%)
Claude Sonnet 51M tokens$2$10Calibrated Claude Tokenizer (±3%)
Claude Haiku 4.5200k tokens$1$5Calibrated Claude Tokenizer (±3%)

How Claude Tokenization Works

Claude models split text with the Claude tokenizer tokenizer, a BPE with byte fallback scheme with a ~65,000 tokens vocabulary. Common words map to one token, while rare words, identifiers and non-Latin scripts are split into several subword pieces. Read how BPE and SentencePiece tokenization work for the details.

  • Claude's smaller vocabulary splits code and rare words slightly more than OpenAI's o200k_base, typically 5–9% more tokens for the same text.
  • Prompt caching can discount repeated system prompts and documents by up to 90%.
  • For billing-exact numbers, the Anthropic API's count_tokens endpoint is the source of truth.

Once you know your token count, estimate a full monthly bill with the LLM cost calculator, or see every Anthropic model price.

Claude Token Counter FAQ

How do I count Claude tokens?

Paste your prompt into the counter above with a Claude model selected. TokenMath tokenizes the text in your browser and shows the token count, context window usage and input cost. Accuracy: Calibrated Claude Tokenizer (±3%).

What tokenizer does Claude use?

Claude models are counted with the Claude tokenizer tokenizer (BPE with byte fallback, ~65,000 tokens vocabulary). Anthropic doesn't ship its Claude tokenizer as an offline library, so TokenMath counts Claude tokens with a calibrated estimate tested in our public tokenizer accuracy benchmark.

How many words is 1,000 Claude tokens?

For typical English prose, 1,000 tokens is roughly 700–750 words. Code, JSON and non-English text use more tokens per word, so count the actual text when budgeting.

How much does Claude Sonnet 5 cost per token?

Claude Sonnet 5 costs $2 per 1M input tokens and $10 per 1M output tokens. That's $0.00200 per 1,000 input tokens.