MISTRAL MODEL TOKEN COUNTER

mistral-large-3 Token Counter

Count tokens for mistral-large-3 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-3 tokens.

Tokens

0

Words

0

Characters

0

Input cost

$0.00

Output cost

$0.00

Total request

$0.00

262,144 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-3 preselected.

mistral-large-3 at a glance

Provider. Mistral

Context window. 262,144 tokens (about 197,000 English words).

API pricing. $0.50 input / $1.50 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 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-3 prices against other providers.

FAQ

mistral-large-3 token counter FAQ

How do I count tokens for mistral-large-3?

Paste your prompt into the counter on this page. Mistral does not publish the mistral-large-3 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-3 cost per token?

mistral-large-3 costs $0.50 per 1 million input tokens and $1.50 per 1 million output tokens, based on the community-maintained LiteLLM pricing dataset checked 2026-07-01.

What is the context window of mistral-large-3?

mistral-large-3 has a context window of 262,144 tokens, which is roughly 197,000 English words of combined prompt and response. The counter above shows how much of that window your text consumes.

Is this mistral-large-3 token count exact?

No. It is a clearly labeled estimate, because Mistral has not released a public tokenizer for mistral-large-3. Estimates are usually within a reasonable range for English text but can drift for code, JSON, or non-English languages.