FIREWORKS AI MODEL TOKEN COUNTER

mixtral-8x7b Token Counter

Count tokens for mixtral-8x7b 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-8x7b tokens.

Expected output

Tokens

Words

Characters

Input cost

$0.00

Output cost

$0.00

Total request

$0.00

32,768 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 mixtral-8x7b preselected.

mixtral-8x7b at a glance

Provider. Fireworks AI

Context window. 32,768 tokens (about 25,000 English words).

API pricing. $0.50 input / $0.50 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 Fireworks AI model token counters

chronos-hermes-13b-v2 code-llama-13b code-llama-13b-instruct code-llama-13b-python code-llama-34b code-llama-34b-python code-llama-70b code-llama-70b-python code-llama-7b code-llama-7b-instruct code-llama-7b-python code-qwen-1p5-7b

Or browse the full model token counter directory and the LLM pricing comparison table to see how mixtral-8x7b prices against other providers.

FAQ

mixtral-8x7b token counter FAQ

How do I count tokens for mixtral-8x7b?

Paste your prompt into the counter on this page. Fireworks AI does not publish the mixtral-8x7b 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-8x7b cost per token?

mixtral-8x7b costs $0.50 per 1 million input tokens and $0.50 per 1 million output tokens, based on the community-maintained LiteLLM pricing dataset checked 2026-07-01.

What is the context window of mixtral-8x7b?

mixtral-8x7b has a context window of 32,768 tokens, which is roughly 25,000 English words of combined prompt and response. The counter above shows how much of that window your text consumes.

Is this mixtral-8x7b token count exact?

No. It is a clearly labeled estimate, because Fireworks AI has not released a public tokenizer for mixtral-8x7b. Estimates are usually within a reasonable range for English text but can drift for code, JSON, or non-English languages.