DEEPINFRA MODEL TOKEN COUNTER

Mistral-Small-3.2-24B-Instruct-2506 Token Counter

Count tokens for Mistral-Small-3.2-24B-Instruct-2506 and estimate API cost before you send a request. DeepInfra does not publish this tokenizer, so counts are calibrated estimates for planning.Your text never leaves the browser.

PROMPT

Paste text to count Mistral-Small-3.2-24B-Instruct-2506 tokens.

Expected output

Tokens

Words

Characters

Input cost

$0.00

Output cost

$0.00

Total request

$0.00

128,000 token context window0%

Need optimization suggestions, a token heatmap, monthly cost projection, or a side-by-side model comparison? Open the full analyzer with Mistral-Small-3.2-24B-Instruct-2506 preselected.

Mistral-Small-3.2-24B-Instruct-2506 at a glance

Provider. DeepInfra

Context window. 128,000 tokens (about 96,000 English words).

API pricing. $0.075 input / $0.20 output per 1M tokens.

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

Pricing source. The community-maintained LiteLLM pricing dataset, refreshed 2026-08-11. Community-tracked rates can lag provider changes; confirm with the provider before budgeting.

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Or browse the full model token counter directory and the LLM pricing comparison table to see how Mistral-Small-3.2-24B-Instruct-2506 prices against other providers.

FAQ

Mistral-Small-3.2-24B-Instruct-2506 token counter FAQ

How do I count tokens for Mistral-Small-3.2-24B-Instruct-2506?

Paste your prompt into the counter on this page. DeepInfra does not publish the Mistral-Small-3.2-24B-Instruct-2506 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-Small-3.2-24B-Instruct-2506 cost per token?

Mistral-Small-3.2-24B-Instruct-2506 costs $0.075 per 1 million input tokens and $0.20 per 1 million output tokens, based on the community-maintained LiteLLM pricing dataset checked 2026-08-11.

What is the context window of Mistral-Small-3.2-24B-Instruct-2506?

Mistral-Small-3.2-24B-Instruct-2506 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-Small-3.2-24B-Instruct-2506 token count exact?

No. It is a clearly labeled estimate, because DeepInfra has not released a public tokenizer for Mistral-Small-3.2-24B-Instruct-2506. Estimates are usually within a reasonable range for English text but can drift for code, JSON, or non-English languages.