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AI / Google Antigravity Gemini Fundamentals Interview Questions

What is Gemini 3.5 Flash and what makes it the current flagship model?

Gemini 3.5 Flash (model ID: gemini-3.5-flash) launched as generally available in June 2026 and is described by Google as delivering sustained frontier performance on agentic and coding tasks. It is the model behind the gemini-flash-latest alias.

Key characteristics:

  • Pro-level intelligence at Flash-tier cost and speed
  • Pro-level coding proficiency
  • Parallel agentic execution - can run multiple tool calls simultaneously
  • Priced the same as previous Flash models despite significantly higher capability
  • 1 million token input context window
  • Up to 64k output tokens
  • Knowledge cutoff: January 2025 (use Search Grounding for newer information)
from google import genai
client = genai.Client()

# Use Gemini 3.5 Flash - recommended default for new projects
interaction = client.interactions.create(
    model="gemini-3.5-flash",
    input="Write a Python async web scraper with error handling.",
)
print(interaction.output_text)

# Or use the alias (note: aliases update automatically as new releases arrive)
interaction = client.interactions.create(
    model="gemini-flash-latest",  # auto-updates to newest Flash release
    input="Review this code for bugs...",
)
# Note: use pinned model IDs in production, not -latest aliases

What does the gemini-flash-latest alias point to?
What is Gemini 3.5 Flash's knowledge cutoff date, and how should you handle queries about more recent events?

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