google/gemma-3-12b-it
131,072 context · $0.04/M input tokens · $0.13/M output tokens
Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...
Pricing
Pay-per-use
No upfront costs, pay only for what you use
Try the model
API Usage
Use the following code examples to integrate with our API:
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="google/gemma-3-12b-it",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)Model Introduction
Google gemma-3-12b-it
google gemma-3-12b-it
Why It Looks Great
- Large Language Model architecture for efficient processing
- 131072 context window for long document handling
- Competitive pricing at $0.0/$0.1 per million tokens
Key Features
- Context Window: 131072 tokens
- Max Output: 131072 tokens
- Vision: Supported
- Function Calling: Supported
Specifications
| Specification | Value |
|---|---|
| Provider | |
| Model Type | Large Language Model (LLM) |
| Architecture | N/A |
| Context Window | 131072 tokens |
| Max Output | 131072 tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
Pricing
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $0.0 |
| Output | $0.1 |
How to Use
- Write your prompt — describe the task, provide context, and specify desired output format.
- Submit — the model processes your request and returns the response.
API Integration
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: google/gemma-3-12b-it
API Usage
Python SDK
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="google/gemma-3-12b-it",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)cURL
curl https://llm.wavespeed.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "google/gemma-3-12b-it",
"messages": [{"role": "user", "content": "Hello!"}]
}'Notes
- Model: google/gemma-3-12b-it
- Provider: Google
Info
Supported Functionality
API Access Guide
Gemma 3 12b It API
google/gemma-3-12b-it
Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...
Input
$0.04 /M
Output
$0.13 /M
Context
131K
Max Output
131K
Vision
Supported
Try Gemma 3 12b It on WaveSpeedAI
Access Gemma 3 12b It through our unified API — OpenAI-compatible, no cold starts, transparent pricing.
Frequently Asked Questions about Gemma 3 12b It
How much does Gemma 3 12b It cost via the API?+
Pricing on WaveSpeedAI: $0.04 per million input tokens and $0.13 per million output tokens. Prompt caching and batch processing are billed separately and reduce effective cost on long, repetitive workloads.
What is the context window of Gemma 3 12b It?+
Gemma 3 12b It supports up to 131K tokens of context with up to 131K tokens of output per request.
Is Gemma 3 12b It OpenAI-compatible?+
Yes. WaveSpeedAI exposes Gemma 3 12b It through an OpenAI-compatible endpoint at https://llm.wavespeed.ai/v1. Point the official OpenAI SDK at this base URL with your WaveSpeedAI API key — no other code changes required.
How do I get started with Gemma 3 12b It?+
Sign in to WaveSpeedAI, create an API key in Access Keys, then send a request to https://llm.wavespeed.ai/v1/chat/completions with model id set to the value shown above. New accounts receive free credits to evaluate Gemma 3 12b It before paying per token.