MISTRAL MODEL TOKEN COUNTER

open-mixtral-8x22b Token Counter

Count tokens for open-mixtral-8x22b and estimate API cost before you send a request. Mistral does not publish this tokenizer, so counts are calibrated estimates for planning. Your text never leaves the browser.

PROMPT

Paste text to count open-mixtral-8x22b tokens.

Tokens

0

Words

0

Characters

0

Input cost

$0.00

Output cost

$0.00

Total request

$0.00

65,336 token context window 0%

Need optimization suggestions, a token heatmap, monthly cost projection, or a side-by-side model comparison? Open the full analyzer with open-mixtral-8x22b preselected.

open-mixtral-8x22b at a glance

Provider. Mistral

Context window. 65,336 tokens (about 49,000 English words).

API pricing. $2.00 input / $6.00 output per 1M tokens.

Tokenizer. Not public; counts on this page are calibrated estimates.

Pricing source. The community-maintained LiteLLM pricing dataset, refreshed 2026-07-01. Community-tracked rates can lag provider changes; confirm with the provider before budgeting.

Other Mistral model token counters

See the Mistral Token Counter for all Mistral models in one counter. Or browse the full model token counter directory and the LLM pricing comparison table to see how open-mixtral-8x22b prices against other providers.

FAQ

open-mixtral-8x22b token counter FAQ

How do I count tokens for open-mixtral-8x22b?

Paste your prompt into the counter on this page. Mistral does not publish the open-mixtral-8x22b 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.

How much does open-mixtral-8x22b cost per token?

open-mixtral-8x22b costs $2.00 per 1 million input tokens and $6.00 per 1 million output tokens, based on the community-maintained LiteLLM pricing dataset checked 2026-07-01.

What is the context window of open-mixtral-8x22b?

open-mixtral-8x22b has a context window of 65,336 tokens, which is roughly 49,000 English words of combined prompt and response. The counter above shows how much of that window your text consumes.

Is this open-mixtral-8x22b token count exact?

No. It is a clearly labeled estimate, because Mistral has not released a public tokenizer for open-mixtral-8x22b. Estimates are usually within a reasonable range for English text but can drift for code, JSON, or non-English languages.