Easy Cost Question 59 of 223

How do LLM APIs typically bill?

GenAI / LLM · Speak this in 60–90 seconds · Faridabad & Delhi NCR

The model does not read letters like humans. It reads these pieces, then predicts the next one.

Most APIs bill per million tokens, often with different rates for input and output.

LLMs use tokens (not full words) because it helps them:

This is a process

question about Cost.

Panels listen for order,

trade-offs, and what you would actually do on a GenAI / LLM project - not buzzwords.

Stable token IDs

Each piece maps to a number the network can learn.

Fits the model

Fixed pieces are what transformers expect as input.

Before the model can read a sentence, it goes through these steps:

1
Most APIs bill per
million tokens, often with different rates for input and output.
2
Some add charges for
cached tokens, tools, or image tokens.
3
Always count both prompt
and completion when you estimate cost.
4
Context mix
Attention looks at nearby tokens together.
5
Next token
The model scores what should come next.
6
Decode
IDs turn back into readable text.

Let's see how a real sentence is tokenized (tokens may vary by model):

Input text

“Some add charges for cached tokens, tools, or image tokens.”

Tokenized output

Someaddchargesforcachedtokens

Token IDs (example)

2987408337471632900

Note: Actual tokens and IDs depend on the tokenizer (e.g., GPT, Llama, etc.).

Most APIs bill per million tokens, often with different rates for input and output. Some add charges for cached tokens, tools, or image tokens.