Public tool listing

Token Counter details

Estimate tokens, characters, and cost-oriented prompt size for LLM workflows. Token Counter is now a native Toolars workspace for local prompt sizing, character counts, and model cost estimates.

Native workspaceFreeTokensLLMCost

Open workspace

Overview

Token Counter estimates prompt tokens, characters, words, lines, and selected-model cost before an LLM request is sent. The workspace follows the Aixtral source behavior with a local-first approximation, adds a model comparison table, and keeps prompt text in the browser so teams can size context and budget without uploading sensitive drafts.

How it works

1Paste prompt textAdd system, user, retrieval, or draft prompt text directly in the local workspace.Input

2Choose model profilePick a representative model profile to estimate a one-off request cost from token volume.Model

3Estimate locallyCalculate character count, word count, line count, estimated tokens, and model cost without sending prompt text away.Local

4Compare costsReview all available model rows to see whether the prompt size fits the intended LLM route.Review

Local token estimation model

LocalPrompt text is processed in the browser and is not uploaded for counting.

EstimateToken counts use the Aixtral-style four-characters-per-token approximation, so provider tokenizers may differ.

PublicThis tool has a dedicated Toolars workspace, library implementation, and focused tests.

Implementation handoff

AXAixtral sourceUses the Aixtral token-counter page and client behavior as the source reference.Source

UIToolars workspaceAdds a native workbench, selected-model estimate, model comparison rows, and public catalog readiness.Ready