NOVITA MODEL TOKEN COUNTER

L3-8B-Stheno-v3.2 Token Counter

Count tokens for L3-8B-Stheno-v3.2 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 L3-8B-Stheno-v3.2 tokens.

Expected output

Tokens

Words

Characters

Input cost

$0.00

Output cost

$0.00

Total request

$0.00

8,192 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 L3-8B-Stheno-v3.2 preselected.

L3-8B-Stheno-v3.2 at a glance

Provider. Novita

Context window. 8,192 tokens (about 6,000 English words).

API pricing. $0.05 input / $0.05 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.

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Or browse the full model token counter directory and the LLM pricing comparison table to see how L3-8B-Stheno-v3.2 prices against other providers.

FAQ

L3-8B-Stheno-v3.2 token counter FAQ

How do I count tokens for L3-8B-Stheno-v3.2?

Paste your prompt into the counter on this page. Novita does not publish the L3-8B-Stheno-v3.2 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 L3-8B-Stheno-v3.2 cost per token?

L3-8B-Stheno-v3.2 costs $0.05 per 1 million input tokens and $0.05 per 1 million output tokens, based on the community-maintained LiteLLM pricing dataset checked 2026-07-01.

What is the context window of L3-8B-Stheno-v3.2?

L3-8B-Stheno-v3.2 has a context window of 8,192 tokens, which is roughly 6,000 English words of combined prompt and response. The counter above shows how much of that window your text consumes.

Is this L3-8B-Stheno-v3.2 token count exact?

No. It is a clearly labeled estimate, because Novita has not released a public tokenizer for L3-8B-Stheno-v3.2. Estimates are usually within a reasonable range for English text but can drift for code, JSON, or non-English languages.