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,...
定價
按用量付費
無需預付費用，僅按實際使用量付費
試用模型
API 使用
使用以下程式碼範例整合我們的 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)模型介紹
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
資訊
支援功能
API 存取指南
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,...
輸入
$0.04 /M
輸出
$0.13 /M
上下文
131K
最大輸出
131K
Vision
支援
在 WaveSpeedAI 試用 Gemma 3 12b It
透過我們的統一 API 接入 Gemma 3 12b It — 相容 OpenAI、無冷啟動、透明計費。
關於 Gemma 3 12b It 的常見問題
Gemma 3 12b It API 多少錢?+
WaveSpeedAI 定價:輸入每百萬 token $0.04,輸出每百萬 token $0.13。Prompt 快取與批次處理分別計費,可顯著降低長上下文、高重複任務的實際成本。
Gemma 3 12b It 的上下文視窗有多大?+
Gemma 3 12b It 每次請求最多支援 131K 上下文 token,輸出最多 131K token。
Gemma 3 12b It 是否相容 OpenAI?+
是的。WaveSpeedAI 透過 https://llm.wavespeed.ai/v1 的 OpenAI 相容端點提供 Gemma 3 12b It。將官方 OpenAI SDK 的 base URL 指向該位址,使用 WaveSpeedAI 的 API Key 即可,無需其他程式碼變更。
如何開始使用 Gemma 3 12b It?+
登入 WaveSpeedAI,在 Access Keys 建立 API Key,使用上方顯示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 發送請求。新帳號將獲得免費額度,用於試用 Gemma 3 12b It。