OPENAI MODEL TOKEN COUNTER

gpt-realtime Token Counter

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

PROMPT

Paste text to count gpt-realtime tokens.

Tokens

0

Words

0

Characters

0

Input cost

$0.00

Output cost

$0.00

Total request

$0.00

32,000 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 gpt-realtime preselected.

gpt-realtime at a glance

Provider. OpenAI

Context window. 32,000 tokens (about 24,000 English words).

API pricing. $4.00 input / $16.00 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 OpenAI model token counters

See the OpenAI Token Counter for all OpenAI models in one counter. Or browse the full model token counter directory and the LLM pricing comparison table to see how gpt-realtime prices against other providers.

FAQ

gpt-realtime token counter FAQ

How do I count tokens for gpt-realtime?

Paste your prompt into the counter on this page. OpenAI does not publish the gpt-realtime 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 gpt-realtime cost per token?

gpt-realtime costs $4.00 per 1 million input tokens and $16.00 per 1 million output tokens, based on the community-maintained LiteLLM pricing dataset checked 2026-07-01.

What is the context window of gpt-realtime?

gpt-realtime has a context window of 32,000 tokens, which is roughly 24,000 English words of combined prompt and response. The counter above shows how much of that window your text consumes.

Is this gpt-realtime token count exact?

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