DEEPINFRA MODEL TOKEN COUNTER

Llama-4-Maverick-17B-128E-Instruct-FP8 Token Counter

Count tokens for Llama-4-Maverick-17B-128E-Instruct-FP8 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 Llama-4-Maverick-17B-128E-Instruct-FP8 tokens.

Tokens

0

Words

0

Characters

0

Input cost

$0.00

Output cost

$0.00

Total request

$0.00

1,048,576 token context window0%

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Llama-4-Maverick-17B-128E-Instruct-FP8 at a glance

Provider. DeepInfra

Context window. 1,048,576 tokens (about 786,000 English words).

API pricing. $0.15 input / $0.60 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.

FAQ

Llama-4-Maverick-17B-128E-Instruct-FP8 token counter FAQ

How do I count tokens for Llama-4-Maverick-17B-128E-Instruct-FP8?

Paste your prompt into the counter on this page. DeepInfra does not publish the Llama-4-Maverick-17B-128E-Instruct-FP8 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-4-Maverick-17B-128E-Instruct-FP8 cost per token?

Llama-4-Maverick-17B-128E-Instruct-FP8 costs $0.15 per 1 million input tokens and $0.60 per 1 million output tokens, based on the community-maintained LiteLLM pricing dataset checked 2026-08-11.

What is the context window of Llama-4-Maverick-17B-128E-Instruct-FP8?

Llama-4-Maverick-17B-128E-Instruct-FP8 has a context window of 1,048,576 tokens, which is roughly 786,000 English words of combined prompt and response. The counter above shows how much of that window your text consumes.

Is this Llama-4-Maverick-17B-128E-Instruct-FP8 token count exact?

No. It is a clearly labeled estimate, because DeepInfra has not released a public tokenizer for Llama-4-Maverick-17B-128E-Instruct-FP8. Estimates are usually within a reasonable range for English text but can drift for code, JSON, or non-English languages.