META MODEL TOKEN COUNTER
Count tokens for Llama 4 Scout and estimate API cost before you send a request. Meta does not publish this tokenizer, so counts are calibrated estimates for planning. Your text never leaves the browser.
PROMPT
Tokens
0
Words
0
Characters
0
Input cost
$0.00
Output cost
$0.00
Total request
$0.00
Need optimization suggestions, a token heatmap, monthly cost projection, or a side-by-side model comparison? Open the full analyzer with Llama 4 Scout preselected.
Provider. Meta
Context window. 10,000,000 tokens (about 7,500,000 English words).
API pricing. Self-hosted; cost depends on your infrastructure.
Tokenizer. Not public; counts on this page are calibrated estimates.
Pricing source. Official Meta pricing page, checked 2026-07-01. Prices in the catalog were last refreshed 2026-07-01 and are estimates, not quotes.
See the Llama Token Counter for all Meta models in one counter. Or browse the full model token counter directory and the LLM pricing comparison table to see how Llama 4 Scout prices against other providers.
FAQ
Paste your prompt into the counter on this page. Meta does not publish the Llama 4 Scout tokenizer, so the count is a calibrated estimate based on text length, language, and structure. Treat it as planning guidance rather than an exact billing number.
Llama 4 Scout is an open-weight model, so there is no fixed per-token API price. Cost depends on the hardware or hosting provider you run it on.
Llama 4 Scout has a context window of 10,000,000 tokens, which is roughly 7,500,000 English words of combined prompt and response. The counter above shows how much of that window your text consumes.
No. It is a clearly labeled estimate, because Meta has not released a public tokenizer for Llama 4 Scout. Estimates are usually within a reasonable range for English text but can drift for code, JSON, or non-English languages.