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AI / Google Antigravity Gemini Fundamentals Interview Questions

What are the key deprecated and shut-down Gemini models developers should know about?

Staying current with model deprecations is critical for production applications. The Gemini API has seen significant deprecations throughout 2025-2026, and applications referencing deprecated model IDs will receive errors after shut-down dates.

Major deprecations and shut-downs (2025-2026)
Model(s)Shut-down dateNotes
All Gemini 1.0 modelsMultiple dates in 2025Now return 404 errors; migrate to 2.x or 3.x
All Gemini 1.5 modelsMultiple dates in 2025Now return 404 errors; migrate to 2.x or 3.x
Gemini 2.0 FlashJune 1, 2026Returns errors; migrate to 2.5 Flash or 3.x
Gemini 2.0 Flash-LiteJune 1, 2026Returns errors; migrate to 2.5 Flash-Lite or 3.x
Gemini 3 Pro PreviewDeprecated March 9, 2026Short notice; illustrates preview risk
Imagen (all versions)June 30, 2026Migrate to Nano Banana (gemini-3-image family)
Veo 2.0 modelsJune 30, 2026Migrate to Veo 3.1 family
# How to detect if your code is using deprecated models:
# Run this to audit model IDs in your codebase:
import re, glob

deprecated = [
    "gemini-1.0", "gemini-1.5", "gemini-2.0-flash",
    "gemini-2.0-flash-lite", "gemini-3-pro-preview",
    "gemini-3.0", "imagen", "veo-2"
]

for file_path in glob.glob("**/*.py", recursive=True):
    with open(file_path) as f:
        content = f.read()
    for dep in deprecated:
        if dep in content:
            print(f"DEPRECATED model ID found in {file_path}: {dep}")

# Best practice: centralise model IDs in config
# config.py:
GEMINI_MODEL = "gemini-3.5-flash"   # update here only when migrating
GEMINI_EMBED_MODEL = "gemini-embedding-exp-03-07"

What response will you receive if you make an API call to a shut-down Gemini model like gemini-2.0-flash after June 1, 2026?
What is the best practice for managing Gemini model IDs in production code to simplify future migrations?

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