Google Models

Model List

Model	Description	Context	Features
`gemini-3-pro`	Gemini 3 Pro	1M	Latest flagship
`gemini-2.5-pro`	Gemini 2.5 Pro	1M	Powerful capabilities
`gemini-2.5-flash`	Gemini 2.5 Flash	1M	Fast response
`gemini-2.0-flash`	Gemini 2.0 Flash	1M	High cost-performance ratio
`gemini-1.5-pro`	Gemini 1.5 Pro	1M	Stable and reliable
`gemini-1.5-flash`	Gemini 1.5 Flash	1M	Economical

Features

Long Context

Supports up to 1M Token context, industry-leading

Multimodal

Supports various inputs such as text, images, videos, etc.

High Cost-Performance Ratio

Flash series is affordably priced

Usage Example

from openai import OpenAI

client = OpenAI(
    api_key="sk-your-api-key",
    base_url="https://api.smai.ai/v1"
)

response = client.chat.completions.create(
    model="gemini-3-pro",
    messages=[
        {"role": "user", "content": "Introduce the history of artificial intelligence"}
    ]
)

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

Multimodal Example

Gemini supports image input:

from openai import OpenAI

client = OpenAI(
    api_key="sk-your-api-key",
    base_url="https://api.smai.ai/v1"
)

response = client.chat.completions.create(
    model="gemini-3-pro",
    messages=[
        {
            "role": "user",
            "content": [
                {"type": "text", "text": "Describe this image"},
                {
                    "type": "image_url",
                    "image_url": {"url": "https://example.com/image.jpg"}
                }
            ]
        }
    ]
)

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