NOVITA MODEL TOKEN COUNTER

mistral-nemo Token Counter

Count tokens for mistral-nemo and estimate API cost before you send a request. Novita does not publish this tokenizer, so counts are calibrated estimates for planning.Your text never leaves the browser.

PROMPT

Paste text to count mistral-nemo tokens.

Expected output

Tokens

Words

Characters

Input cost

$0.00

Output cost

$0.00

Total request

$0.00

60,288 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-nemo preselected.

mistral-nemo at a glance

Provider. Novita

Context window. 60,288 tokens (about 45,000 English words).

API pricing. $0.04 input / $0.17 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.

Other Novita model token counters

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

FAQ

mistral-nemo token counter FAQ

How do I count tokens for mistral-nemo?

Paste your prompt into the counter on this page. Novita does not publish the mistral-nemo 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-nemo cost per token?

mistral-nemo costs $0.04 per 1 million input tokens and $0.17 per 1 million output tokens, based on the community-maintained LiteLLM pricing dataset checked 2026-08-11.

What is the context window of mistral-nemo?

mistral-nemo has a context window of 60,288 tokens, which is roughly 45,000 English words of combined prompt and response. The counter above shows how much of that window your text consumes.

Is this mistral-nemo token count exact?

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