Gemma 3 27B | Google Open-Source LLM API

Name: Gemma 3 27b It API
Brand: google
Price: 0.08 USD
Availability: InStock

API 使用

使用以下代码示例接入我们的 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-3-27b-it",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

print(response.choices[0].message.content)

模型介绍

Google gemma-3-27b-it

Gemma 3 introduces multimodality, supporting vision-language input and text outputs

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, including structured outputs and function calling. Gemma 3 27B is Google's latest open source model, successor to Gemma 2

Why It Looks Great

Large Language Model architecture for efficient processing
128000 context window for long document handling
Competitive pricing at $0.0/$0.2 per million tokens

Key Features

Context Window: 128000 tokens
Max Output: 65536 tokens
Vision: Supported
Function Calling: Supported

Specifications

Specification	Value
Provider	Google
Model Type	Large Language Model (LLM)
Architecture	N/A
Context Window	128000 tokens
Max Output	65536 tokens
Input	Text
Output	Text
Vision	Supported
Function Calling	Supported

Pricing

Token Type	Cost per Million Tokens
Input	$0.0
Output	$0.2

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-3-27b-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-3-27b-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-3-27b-it",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: google/gemma-3-27b-it
Provider: Google

关于 Gemma 3 27b It 的常见问题

Gemma 3 27b It API 多少钱?+

WaveSpeedAI 定价:输入每百万 token $0.08,输出每百万 token $0.16。Prompt 缓存和批处理单独计费,可显著降低长上下文、高重复任务的实际成本。

Gemma 3 27b It 的上下文窗口是多大?+

Gemma 3 27b It 单次请求最多支持 131K 上下文 token,输出最多 16K token。

Gemma 3 27b It 是否兼容 OpenAI?+

是的。WaveSpeedAI 通过 https://llm.wavespeed.ai/v1 的 OpenAI 兼容端点提供 Gemma 3 27b It。把官方 OpenAI SDK 的 base URL 指向该地址,使用 WaveSpeedAI 的 API Key 即可,无需任何其他代码改动。

如何开始使用 Gemma 3 27b It?+

登录 WaveSpeedAI,在 Access Keys 中生成 API Key,使用上方显示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 发送请求。新账户可获得免费额度,用于试用 Gemma 3 27b It。

定价