Token Studio

Muse Glimmer Token Counter

Count tokens for Muse Glimmer 30B with its real tokenizer, running entirely in your browser.

Runs entirely in your browser Nothing is uploaded
Loading tokenizer…
26.8 MB · one-time
Est. cost
 
Tokens / word
 
Chars / token
 
Characters
327
58 words
Context window
Input text
327characters
270no spaces
58words
4sentences
Token breakdown
Muse Glimmer 30B · muse-glimmer-30b
Loading Muse Glimmer tokenizer · 26.8 MB
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Model Tokens Cost
Muse Glimmer 30B
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Counts come from each model's real tokenizer, running entirely in your browser. Cost and context-window figures are estimates for guidance and may vary by model version.

Counting tokens for Muse Glimmer

Muse Glimmer 30B ships open weights and a published tokenizer, so the counts here are exact. The count updates as you type, along with how much of the model's 131K context window your text fills. Cost shows as free because you can run the model on your own hardware; add a hosted model from the compare table to see what the same text would cost through an API.

Pricing and context windows

Muse Glimmer's context window, and why the cost column reads free.

ModelTokenizerPrice / 1M inputContext window
Muse Glimmer 30Bmuse-glimmer-30bFree131K

Prices and context windows are curated metadata refreshed periodically from the providers and OpenRouter, so treat them as guidance rather than a quote. Token counts are always produced by the real tokenizer.

How Muse Glimmer tokenization works

The model ships a standard tokenizer file, which this tool runs directly. Muse Glimmer 30B uses a byte-level BPE vocabulary released with the weights, so there is no approximation involved. Any input encodes without an unknown token; rarer characters simply cost more of them.

On English prose it sits mid-pack: our fixed 500-word sample came to 578 tokens, a few above OpenAI's encoding and a few below Mistral's.

Frequently asked questions

Why does the cost show as free?

Muse Glimmer ships open weights, so there is no per-token list price to quote. Running it on your own hardware costs compute rather than tokens. Hosted providers do charge per token, and their rates vary, so add a hosted model in the compare table if you want a billing comparison.

Is this the official Muse Glimmer tokenizer?

Yes. The tool loads the tokenizer file released with the model. It is fetched once and run in your browser, so the count is exact and your text stays on your machine.

How much text fits in the context window?

About 113,000 English words fill the 131K-token window at the measured ratio. That is the whole budget, so leave room for the model's own reply and for anything else the request carries. The context bar above the editor shows what your current text uses.