Question 1

What is the cost of Gemma 4 12B Instruct by NanoGPT?

Accepted Answer

Gemma 4 12B Instruct by NanoGPT costs $0.06 per 1M input tokens and $0.30 per 1M output tokens. Cached reads cost $0.03 per 1M tokens.

Question 2

What is the context window of Gemma 4 12B Instruct by NanoGPT?

Accepted Answer

Gemma 4 12B Instruct by NanoGPT has a context window of 262K tokens. It supports up to 262K input tokens and can generate up to 33K output tokens.

Question 3

What are the capabilities of Gemma 4 12B Instruct by NanoGPT?

Accepted Answer

Gemma 4 12B Instruct by NanoGPT supports tool calling/function calling, structured output, file attachments. It has open weights.

Question 4

What input and output types does Gemma 4 12B Instruct support?

Accepted Answer

Gemma 4 12B Instruct by NanoGPT accepts text, image, video, audio as input and can generate text as output.

Question 5

Is Gemma 4 12B Instruct by NanoGPT open source?

Accepted Answer

Yes, Gemma 4 12B Instruct by NanoGPT has open weights, meaning the model weights are publicly available for download and self-hosting.

Question 6

Does Gemma 4 12B Instruct support function calling?

Accepted Answer

Yes, Gemma 4 12B Instruct by NanoGPT supports tool calling (also known as function calling), allowing it to interact with external tools and APIs during conversations.

Gemma 4 12B Instruct API

Input Modalities

Standard (per 1M tokens)

Caching (per 1M tokens)

Output Modalities