Methodology
The browser uses a transparent character heuristic for planning, then applies the selected model's sourced context and input price. It does not claim tokenizer-exact billing.
Token and API Costs
Estimate tokens from pasted text, then translate the estimate into model input cost and context usage.
Interactive Tool
| Result | Value | How to read it |
|---|---|---|
| Characters | 78 | Including whitespace and punctuation. |
| Words | 13 | Whitespace-delimited word count. |
| Estimated tokens | 20 | Planning heuristic: approximately four characters per token. |
| Total estimated tokens | 20 | 1 execution. |
| Estimated input cost | $0.0002 | $10.00 / 1M for Claude Fable 5. |
| Context used | 0% | Against 1M tokens. |
This is a transparent planning heuristic, not a tokenizer-exact count. Use provider usage fields or the exact tokenizer for billing reconciliation.
Inputs
| Input | How it is used |
|---|---|
| Text | The prompt, document, or code sample to estimate. |
| Model | Supplies the sourced context window and input price. |
| Executions | How many times the same estimated input will be sent. |
The browser uses a transparent character heuristic for planning, then applies the selected model's sourced context and input price. It does not claim tokenizer-exact billing.
Leave headroom for system messages, tool schemas, retrieved context, and output. For billing reconciliation, use the provider's exact tokenizer or API usage fields.
Boundaries
Catalog values retain their source and freshness on the linked model, provider, benchmark, or comparison page. Editable scenario assumptions are not Model Markets measurements.
Continue the Analysis
| Tool | Next question |
|---|---|
| Prompt Cost | Make the cost of a system prompt, tool schema, or repeated instruction visible before scale. |
| Context Window | Turn a nominal context-window number into a practical fit check for a complete request envelope. |
| LLM Cost Calculator | Price one explicit token workload against an exact published provider endpoint. |
Questions
Get a fast planning estimate before sending a prompt or document to a tokenizer-backed API. It returns estimated tokens, words, characters, context share, and input cost for a selected model.
Where the calculation needs model facts, it uses the current Model Markets catalog snapshot updated 2026-09-02. User-entered assumptions remain clearly editable, and unsupported values stay unknown rather than being inferred.
Code, non-Latin text, and structured data can diverge materially from the character heuristic. Provider wrappers may add hidden tokens. Reasoning and output tokens are separate from this input estimate. Open the linked canonical records and primary sources before making a production or purchasing decision.