Product guide · Cloud LLM

Gemini

Google's multimodal AI. API and consumer product. Use cases, pricing, and Workspace integration.

Use cases

What teams actually use it for

  • Drafting and summarisation
  • Code generation
  • Image understanding and generation
  • Research and Q&A
  • Workspace integration (Gmail, Docs, Sheets)
  • Long-context analysis (up to 1M tokens)
Pricing

Pricing model

Free tier (limited) + pay-as-you-go API. Token-based pricing per million tokens. Free in Google AI Studio to start.

Free (API)

$0

Limited rate limits, certain models

Pay-as-you-go

Per token

Gemini 3.1 Pro: ~$2–$18/1M tokens depending on context; batch 50% discount

Context caching

Additional

Cached prompts incur extra fees

Workspace

Included in plan

Gemini in Gmail, Docs, Sheets, Meet; Business Plus and above

Business fit

What to know before you commit

Pros

  • Strong multimodal (text, image, video)
  • Free tier for experimentation
  • Workspace integration for Google users
  • Long context window
  • Batch API for cost savings

Considerations

  • Pay-as-you-go can spike with volume
  • Workspace pricing increased 17–22% in 2025
  • Data sent to Google; check terms for training

When it makes sense: Good for businesses already on Google Workspace. API suits developers; Workspace suits teams wanting AI in Gmail, Docs, Sheets.

Data handling

Where your data goes

Paid API tier: prompts not used to improve Google products. Free tier: check terms. Workspace: data in Google cloud.

GDPR / compliance. Google Cloud compliance; Workspace has data processing terms.

Data sovereignty. Google Cloud regions available; Workspace data residency varies.

Reference source

Want a recommendation for your use case?

Every team's fit is different. We'll model cost and ROI across cloud, self-hosted, and hybrid before recommending anything, including this product.