FIREWORKS AI MODEL TOKEN COUNTER

mixtral-8x22b-instruct-hf Token Counter

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

PROMPT

Paste text to count mixtral-8x22b-instruct-hf tokens.

Tokens

0

Words

0

Characters

0

Input cost

$0.00

Output cost

$0.00

Total request

$0.00

65,536 token context window 0%

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mixtral-8x22b-instruct-hf at a glance

Provider. Fireworks AI

Context window. 65,536 tokens (about 49,000 English words).

API pricing. $1.20 input / $1.20 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.

FAQ

mixtral-8x22b-instruct-hf token counter FAQ

How do I count tokens for mixtral-8x22b-instruct-hf?

Paste your prompt into the counter on this page. Fireworks AI does not publish the mixtral-8x22b-instruct-hf 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 mixtral-8x22b-instruct-hf cost per token?

mixtral-8x22b-instruct-hf costs $1.20 per 1 million input tokens and $1.20 per 1 million output tokens, based on the community-maintained LiteLLM pricing dataset checked 2026-07-01.

What is the context window of mixtral-8x22b-instruct-hf?

mixtral-8x22b-instruct-hf has a context window of 65,536 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 mixtral-8x22b-instruct-hf token count exact?

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