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Token Estimator

AI / Agent

Estimate token count and API cost for any text across GPT-4o, Claude, Gemini, and more

Before firing off a large batch job to an LLM API, it's worth knowing what it'll actually cost and whether it fits inside a model's context window, and this shows exact token counts using each model's real tokenizer library (GPT-4o, Claude, Gemini, and others) side by side, since the same text splits into a different number of tokens depending on the model's own tokenizer (tiktoken for GPT versus a different BPE vocabulary for Claude, for instance). Token counts themselves are exact; the cost figures layered on top are estimates based on published per-token pricing, which providers change periodically, so always check current pricing before budgeting at real scale. This covers text tokens only. Multimodal input has its own separate, model-specific pricing not addressed here, and everything runs locally, with no text sent to any API just to count it.

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How to use Token Estimator

  • 1.Paste a prompt or document to see its token count and estimated API cost across GPT-4o, Claude, Gemini, and other models side by side.
  • 2.Use it before sending a large batch job to an LLM API to estimate total cost and check you're within a model's context window.
  • 3.Compare token counts across models to decide which one gives you the most headroom for a given piece of text, since tokenizers differ.

Frequently asked questions

Does this run in my browser or is my text sent anywhere?
Tokenization runs entirely in your browser using each model's tokenizer library — your text is not sent to any API for counting.
How accurate is the cost estimate?
Token counts are exact (using the real tokenizers), but costs are estimates based on published per-token pricing, which providers can change — always check current pricing before budgeting at scale.
Why do different models count different token totals for the same text?
Each model family uses its own tokenizer (e.g. tiktoken for GPT, a different BPE vocabulary for Claude), so the same text splits into a different number of tokens depending on the model.
Does it count image or audio tokens?
No, this tool estimates text tokens only — multimodal inputs have separate, model-specific pricing not covered here.

Use via API, SDK, or MCP

cURL# Free: 1,000 req/day · Pro: 10,000 req/day
curl -X POST https://api.utilix.tech/v1/tools/estimate-tokens \
  -H "Authorization: Bearer utx_live_..." \
  -H "Content-Type: application/json" \
  -d '{"text":"The quick brown fox jumps over the lazy dog."}'

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