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AI / Google Antigravity Gemini Fundamentals Interview Questions

What is Veo and what video generation capabilities does the Gemini API offer?

Veo is Google's video generation model family, accessible via the Gemini API. The current production line is Veo 3.1, with models ranging from high-quality cinematic generation to fast, cost-efficient production of short clips.

Veo 3.1 model lineup
ModelCapabilityUse case
Veo 3.1 (GA)State-of-the-art cinematic video with advanced creative controls and natively synchronised audioHigh-quality film-like video
Veo 3.1 Fast (GA)High-efficiency cinematic control from the Veo 3.1 familySpeed-sensitive production workloads
Veo 3.1 Lite PreviewMost cost-efficient; designed for rapid iteration and high-volume appsDevelopment, prototyping, bulk generation
from google import genai
from google.genai import types

client = genai.Client()

# Generate a video with Veo 3.1
operation = client.models.generate_videos(
    model="veo-3.1-generate-preview",
    prompt="A drone flies over a misty mountain range at sunrise, cinematic 4K",
    config=types.GenerateVideoConfig(
        aspect_ratio="16:9",
        duration_seconds=5,
        sample_count=1,
    )
)
# Video generation is async - poll for completion:
import time
while not operation.done:
    time.sleep(10)
    operation = client.operations.get(operation.name)

# Download the generated video:
video = operation.result.generated_videos[0]
client.files.download(file=video)
print(f"Video saved: {video.video.uri}")

# Note: Veo 2.0 models were deprecated June 30, 2026
# Migrate to veo-3.1-generate-preview or veo-3.1-fast-generate-preview

Deprecation note: Veo 2.0 generation models were deprecated and shut down on June 30, 2026. Applications using Veo 2.0 model IDs must migrate to Veo 3.1 model IDs.

What makes Veo 3.1 videos distinctive compared to earlier Veo versions?
Why does video generation with Veo require polling instead of a synchronous response?

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