Question 1

What is the cost of GPT-4.1 nano by Abacus?

Accepted Answer

GPT-4.1 nano by Abacus costs $0.10 per 1M input tokens and $0.40 per 1M output tokens. Cached reads cost $0.03 per 1M tokens.

Question 2

What is the context window of GPT-4.1 nano by Abacus?

Accepted Answer

GPT-4.1 nano by Abacus has a context window of 1.0M tokens. It supports up to 1.0M input tokens and can generate up to 33K output tokens.

Question 3

What are the capabilities of GPT-4.1 nano by Abacus?

Accepted Answer

GPT-4.1 nano by Abacus supports tool calling/function calling, structured output, adjustable temperature, file attachments. It has closed weights.

Question 4

What input and output types does GPT-4.1 nano support?

Accepted Answer

GPT-4.1 nano by Abacus accepts text, image as input and can generate text as output.

Question 5

Is GPT-4.1 nano by Abacus open source?

Accepted Answer

No, GPT-4.1 nano by Abacus has closed weights. The model is only available through the Abacus API.

Question 6

Does GPT-4.1 nano support function calling?

Accepted Answer

Yes, GPT-4.1 nano by Abacus supports tool calling (also known as function calling), allowing it to interact with external tools and APIs during conversations.

Question 7

What is the knowledge cutoff date for GPT-4.1 nano?

Accepted Answer

GPT-4.1 nano by Abacus has a knowledge cutoff date of 2024-04. This means the model was trained on data available up until that date.

GPT-4.1 nano API

Input Modalities

Output Modalities

Standard (per 1M tokens)

Caching (per 1M tokens)