LLM & Online Token Counter - Browser, Local, No Upload
Last updated: July 2026
What a good online LLM / AI token counter should do: count locally, switch OpenAI / Claude / Gemini modes, label estimates—without a pile of duplicate keyword pages.
LLM token counter, AI token counter, online token counter, and token counter llm point at the same product shape: open a page, paste text, read tokens — preferably without an account. This guide covers what that tool should do, and how we cover the intent with one workbench instead of duplicate URLs.
What an online counter should do
A solid browser counter runs locally, offers honest model modes, labels estimates, and links to methodology. It should not pretend to be the OpenAI / Anthropic / Google website, and it should not splinter every synonym into an empty page.
Our workbench model
The token counter covers general and vendor-oriented counting (OpenAI / Claude / Gemini modes). The context window calculator covers fill %. Words ↔ tokens converters cover number-only planning. Long-tail keywords get depth in guides; hands-on work stays on tools.
Privacy and accounts
Counting runs on your device; closing the tab clears the paste. No account wall. That is the part of “online token counter” worth stating in product copy — once, in plain language.
Where to go next
Vendor detail lives in the OpenAI, Claude, and Gemini guides. Encoding honesty lives in tiktoken vs approximate. Windows and 128k live in GPT-4o context & 128k.