MISTRAL MODEL TOKEN COUNTER

Mistral Large Token Counter

Count tokens for Mistral Large 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 Mistral Large tokens.

Tokens

0

Words

0

Characters

0

Input cost

$0.00

Output cost

$0.00

Total request

$0.00

128,000 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 Mistral Large preselected.

Mistral Large at a glance

Provider. Mistral

Context window. 128,000 tokens (about 96,000 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. Official Mistral pricing page, checked 2026-07-01. Prices in the catalog were last refreshed 2026-07-01 and are estimates, not quotes.

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 Mistral Large prices against other providers.

FAQ

Mistral Large token counter FAQ

How do I count tokens for Mistral Large?

Paste your prompt into the counter on this page. Mistral does not publish the Mistral Large 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 Mistral Large cost per token?

Mistral Large costs $2.00 per 1 million input tokens and $6.00 per 1 million output tokens, based on official Mistral pricing checked 2026-07-01.

What is the context window of Mistral Large?

Mistral Large has a context window of 128,000 tokens, which is roughly 96,000 English words of combined prompt and response. The counter above shows how much of that window your text consumes.

Is this Mistral Large token count exact?

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