Monthly cost
$0+ / mo
Free tier; pay-per-token above
Popularity
4/5
LLM knowledge
4/5
Difficulty
Easy
#ai-native#low-cost
What Google Gemini is good at
Strengths
- +Very long context
- +Cheap Flash tier
- +Strong multimodal
Tradeoffs
- −Quality varies by task
- −Newer API surface
Coding-agent prompt
Drop into Claude / Cursor to get idiomatic Google Gemini code.
You're working with Google Gemini. Google's multimodal model family. Best practices: - Lean on: very long context - Lean on: cheap flash tier - Lean on: strong multimodal Things to watch for: - Watch out for: quality varies by task - Watch out for: newer api surface General guidance: - Canonical docs: https://deepmind.google/technologies/gemini — check here before inventing APIs. - Keep secrets in environment variables, never commit them. - Write TypeScript where the ecosystem supports it; add types to every exported function. - Add tests for the critical paths before declaring the task done. - Read-the-docs is usually faster than guessing — cite the docs page in code comments when you apply a non-obvious pattern.
Beginner's guide to Google Gemini
In one line: Google's family of multimodal AI models.
Gemini understands text, images, audio, and video. The Flash tier is very cheap; the Pro tier handles more complex tasks.
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