NOVITA MODEL TOKEN COUNTER

llama-3-8b-instruct Token Counter

Count tokens for llama-3-8b-instruct and estimate API cost before you send a request. Counts run the exact Llama 3 tokenizer (published by Meta) in your browser. Your text never leaves the browser.

PROMPT

Paste text to count llama-3-8b-instruct 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 llama-3-8b-instruct preselected.

llama-3-8b-instruct at a glance

Provider. Novita

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

API pricing. $0.04 input / $0.04 output per 1M tokens.

Tokenizer. Llama 3 tokenizer (published by Meta) - exact, runs in your browser.

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 llama-3-8b-instruct prices against other providers.

FAQ

llama-3-8b-instruct token counter FAQ

How do I count tokens for llama-3-8b-instruct?

Paste your prompt into the counter on this page. llama-3-8b-instruct uses the Llama 3 tokenizer (published by Meta), and the count runs in your browser with the same published tokenizer, so the number matches what the API reports for plain text.

How much does llama-3-8b-instruct cost per token?

llama-3-8b-instruct costs $0.04 per 1 million input tokens and $0.04 per 1 million output tokens, based on the community-maintained LiteLLM pricing dataset checked 2026-07-01.

What is the context window of llama-3-8b-instruct?

llama-3-8b-instruct 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 llama-3-8b-instruct token count exact?

Yes. The page runs the Llama 3 tokenizer (published by Meta) in your browser, the same tokenization the Novita API applies, so counts are exact for plain text input.