REPLICATE MODEL TOKEN COUNTER

llama-2-13b Token Counter

Count tokens for llama-2-13b and estimate API cost before you send a request. Replicate does not publish this tokenizer, so counts are calibrated estimates for planning. Your text never leaves the browser.

PROMPT

Paste text to count llama-2-13b tokens.

Expected output

Tokens

Words

Characters

Input cost

$0.00

Output cost

$0.00

Total request

$0.00

4,096 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-2-13b preselected.

llama-2-13b at a glance

Provider. Replicate

Context window. 4,096 tokens (about 3,000 English words).

API pricing. $0.10 input / $0.50 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 Replicate model token counters

llama-2-13b-chat llama-2-70b llama-2-7b llama-2-7b-chat llama-3-70b llama-3-8b mistral-7b-instruct-v0.2 mistral-7b-v0.1

Or browse the full model token counter directory and the LLM pricing comparison table to see how llama-2-13b prices against other providers.

FAQ

llama-2-13b token counter FAQ

How do I count tokens for llama-2-13b?

Paste your prompt into the counter on this page. Replicate does not publish the llama-2-13b 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 llama-2-13b cost per token?

llama-2-13b costs $0.10 per 1 million input tokens and $0.50 per 1 million output tokens, based on the community-maintained LiteLLM pricing dataset checked 2026-07-01.

What is the context window of llama-2-13b?

llama-2-13b has a context window of 4,096 tokens, which is roughly 3,000 English words of combined prompt and response. The counter above shows how much of that window your text consumes.

Is this llama-2-13b token count exact?

No. It is a clearly labeled estimate, because Replicate has not released a public tokenizer for llama-2-13b. Estimates are usually within a reasonable range for English text but can drift for code, JSON, or non-English languages.