NOVITA MODEL TOKEN COUNTER

autoglm-phone-9b-multilingual Token Counter

Count tokens for autoglm-phone-9b-multilingual 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 autoglm-phone-9b-multilingual tokens.

Tokens

0

Words

0

Characters

0

Input cost

$0.00

Output cost

$0.00

Total request

$0.00

65,536 token context window 0%

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autoglm-phone-9b-multilingual at a glance

Provider. Novita

Context window. 65,536 tokens (about 49,000 English words).

API pricing. $0.035 input / $0.138 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.

FAQ

autoglm-phone-9b-multilingual token counter FAQ

How do I count tokens for autoglm-phone-9b-multilingual?

Paste your prompt into the counter on this page. Novita does not publish the autoglm-phone-9b-multilingual 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 autoglm-phone-9b-multilingual cost per token?

autoglm-phone-9b-multilingual costs $0.035 per 1 million input tokens and $0.138 per 1 million output tokens, based on the community-maintained LiteLLM pricing dataset checked 2026-07-01.

What is the context window of autoglm-phone-9b-multilingual?

autoglm-phone-9b-multilingual has a context window of 65,536 tokens, which is roughly 49,000 English words of combined prompt and response. The counter above shows how much of that window your text consumes.

Is this autoglm-phone-9b-multilingual token count exact?

No. It is a clearly labeled estimate, because Novita has not released a public tokenizer for autoglm-phone-9b-multilingual. Estimates are usually within a reasonable range for English text but can drift for code, JSON, or non-English languages.