Gemini 2.5 Pro | Google Advanced Reasoning LLM API

Name: Gemini 2.5 Pro API
Brand: google
Price: 1.25 USD
Availability: InStock

API 使用

使用以下代码示例接入我们的 API：

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["WAVESPEED_API_KEY"],
    base_url="https://llm.wavespeed.ai/v1",
    timeout=120.0,
    max_retries=2,
)

try:
    response = client.chat.completions.create(
        model="google/gemini-2.5-pro",
        messages=[{"role": "user", "content": "Hello!"}],
    )
    print(response.choices[0].message.content or "")
except Exception as exc:
    raise SystemExit(f"LLM request failed: {exc}") from exc

模型介绍

Google gemini-2.5-pro

google gemini-2.5-pro

Why It Looks Great

Large Language Model architecture for efficient processing
1048576 context window for long document handling
Competitive pricing at $1.4/$11.0 per million tokens

Key Features

Context Window: 1048576 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	1048576 tokens
Max Output	65536 tokens
Input	Text
Output	Text
Vision	Supported
Function Calling	Supported

Pricing

Token Type	Cost per Million Tokens
Input	$1.4
Output	$11.0

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/gemini-2.5-pro

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/gemini-2.5-pro",
    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/gemini-2.5-pro",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: google/gemini-2.5-pro
Provider: Google

关于 Gemini 2.5 Pro 的常见问题

Gemini 2.5 Pro API 多少钱?+

WaveSpeedAI 定价:输入每百万 token $1.25,输出每百万 token $10.00。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。

Gemini 2.5 Pro 的上下文窗口是多大?+

Gemini 2.5 Pro 单次请求最多支持 1049K 上下文 token,输出最多 66K token。

Gemini 2.5 Pro 是否兼容 OpenAI?+

WaveSpeedAI 通过 https://llm.wavespeed.ai/v1 的 OpenAI 兼容 Chat Completions 接口提供 Gemini 2.5 Pro。大多数 OpenAI SDK 客户端只需更换 base URL 和 API Key；可选字段取决于具体模型。

如何开始使用 Gemini 2.5 Pro?+

登录 WaveSpeedAI，在 Access Keys 中创建 API Key，然后使用上方显示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 发送请求。模型可用性、能力和价格请以当前模型目录为准。

定价

试用模型