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Gemini models with native multimodal support. Handles text, images, video, and audio with built-in Google Search. 
from agno.agent import Agent
from agno.models.google import Gemini

agent = Agent(
    model=Gemini(id="gemini-2.0-flash"),
    markdown=True,
)

agent.print_response("Explain the theory of relativity", stream=True)

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Tool Use

from agno.agent import Agent
from agno.models.google import Gemini
from agno.tools.yfinance import YFinanceTools

agent = Agent(
    model=Gemini(id="gemini-2.0-flash"),
    tools=[YFinanceTools(stock_price=True)],
    markdown=True,
)

agent.print_response("What's GOOGL's stock price?", stream=True)

​
Video Input

from agno.agent import Agent
from agno.media import Video
from agno.models.google import Gemini

agent = Agent(
    model=Gemini(id="gemini-2.0-flash"),
    markdown=True,
)

agent.print_response(
    "Tell me about this video",
    videos=[Video(url="https://www.youtube.com/watch?v=XinoY2LDdA0")],
)

from agno.agent import Agent
from agno.models.google import Gemini

agent = Agent(
    model=Gemini(id="gemini-2.0-flash", search=True),
    markdown=True,
)

agent.print_response("What are the latest developments in AI this week?")

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Structured Output

from pydantic import BaseModel, Field
from agno.agent import Agent
from agno.models.google import Gemini

class Recipe(BaseModel):
    name: str = Field(..., description="Recipe name")
    ingredients: list[str] = Field(..., description="List of ingredients")
    instructions: list[str] = Field(..., description="Cooking instructions")

agent = Agent(
    model=Gemini(id="gemini-2.0-flash"),
    output_schema=Recipe,
)

agent.print_response("Give me a recipe for pasta carbonara")

​
Run Examples

export GOOGLE_API_KEY=xxx

# Clone and run
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/92_models/google/gemini

python basic.py
python tool_use.py
python video_input_youtube.py
python search.py