How much does Gemma 3 12b It cost?

Gemma 3 12b It is billed pay-as-you-go at $57.41 per 1M input tokens and $57.41 per 1M output tokens. There is no subscription — you only pay for what you use.

What is the context window of Gemma 3 12b It?

Gemma 3 12b It supports a context window of up to 131K tokens. It can return up to 16K tokens in a single response.

What can Gemma 3 12b It do?

Gemma 3 12b It supports Vision, Tool calling.

Is Gemma 3 12b It free to use?

Gemma 3 12b It is a paid, pay-as-you-go model — no subscription, you are only charged for usage.

How do I use Gemma 3 12b It via the API?

Gemma 3 12b It is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID gemma-3-12b-it with your Api.Airforce API key.

Who makes Gemma 3 12b It?

Gemma 3 12b It is Google's chat model, served through the unified Api.Airforce gateway alongside 100+ other models.

GooglePaidOperational

Gemma 3 12b It

API model name: gemma-3-12b-it

Gemma 3 12b It is Google's chat model, served on the Api.Airforce unified API. It has a 131K-token context window. Beyond text, it accepts image as input. Capabilities include Vision, Tool calling. It is priced at $57.41 per million input tokens and $57.41 per million output tokens. Knowledge cutoff: 2024-08-31. Access it through the OpenAI-compatible API with one key, alongside 100+ other models on Api.Airforce.

Get an API key View pricing

Pricing

Input / 1M tokens

$57.41

Output / 1M tokens

$57.41

Cache read / 1M tokens

$5.74

Specifications

Provider: Google
Type: chat model
Context window: 131K tokens
Max output: 16K tokens
Knowledge cutoff: 2024-08-31
Input: text, image
Output: text

Capabilities

VisionTool callingStreaming

What is Gemma 3 12b It used for?

Chatbots & assistants — conversational AI, drafting, summarizing and Q&A.
Image understanding — analyze photos, screenshots, charts and scanned documents.
Agents & automation — function calling and tool use for multi-step workflows.
Real-time experiences — stream tokens for responsive chat and apps.

Gemma 3 12b It vs. similar models

Model	Intelligence	Context	Input / 1M	Output / 1M
Gemma 3 12b It	—	131K	$57.41	$57.41
[SP]gemini 2.5 Pro	—	—	$3.97	$0.02
[SP]gemini 3.1 Pro Preview	—	—	$3.97	$0.02
[SP]gemini 3.5 Flash	—	—	$13.27	$0.02

Prices are Api.Airforce pay-as-you-go rates per 1M tokens. Context is the maximum input length.

Gemma 3 12b It — frequently asked questions

How much does Gemma 3 12b It cost?: Gemma 3 12b It is billed pay-as-you-go at $57.41 per 1M input tokens and $57.41 per 1M output tokens. There is no subscription — you only pay for what you use.
What is the context window of Gemma 3 12b It?: Gemma 3 12b It supports a context window of up to 131K tokens. It can return up to 16K tokens in a single response.
What can Gemma 3 12b It do?: Gemma 3 12b It supports Vision, Tool calling.
Is Gemma 3 12b It free to use?: Gemma 3 12b It is a paid, pay-as-you-go model — no subscription, you are only charged for usage.
How do I use Gemma 3 12b It via the API?: Gemma 3 12b It is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID gemma-3-12b-it with your Api.Airforce API key.
Who makes Gemma 3 12b It?: Gemma 3 12b It is Google's chat model, served through the unified Api.Airforce gateway alongside 100+ other models.

All models·Quickstart·Chat API reference

Use Gemma 3 12b It via the API

OpenAI-compatible — point any OpenAI SDK at https://api.airforce/v1 and pass gemma-3-12b-it as the model.

cURL

curl https://api.airforce/v1/chat/completions \
  -H "Authorization: Bearer $AIRFORCE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemma-3-12b-it",
    "messages": [{ "role": "user", "content": "Hello!" }]
  }'

Python

from openai import OpenAI
client = OpenAI(base_url="https://api.airforce/v1", api_key="$AIRFORCE_API_KEY")
r = client.chat.completions.create(
    model="gemma-3-12b-it",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(r.choices[0].message.content)

JavaScript

import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.airforce/v1", apiKey: process.env.AIRFORCE_API_KEY });
const r = await client.chat.completions.create({
  model: "gemma-3-12b-it",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(r.choices[0].message.content);