Product guide · Cloud LLM

Claude

Anthropic's conversational AI. Consumer (Claude.ai) and API. Strong reasoning, long context, prompt caching.

Use cases

What teams actually use it for

  • Drafting and editing
  • Research and analysis
  • Code assistance
  • Long documents (1M token context)
  • Structured output
  • Batch processing
Pricing

Pricing model

Free tier + Claude Pro subscription. API: pay-per-token. Batch API 50% discount. Prompt caching up to 90% savings on repeated context.

Free (claude.ai)

$0

Limited usage, rate limits

Claude Pro

~$20/month

Priority access, higher limits, latest models

API — Opus

$5 in / $25 out per 1M tokens

Flagship model

API — Sonnet

$3 in / $15 out per 1M tokens

Balance of speed and capability

API — Haiku

$0.25–$1 in / $1.25–$5 out per 1M tokens

Fast, cost-effective

Batch API

50% discount

Asynchronous; non-time-sensitive workloads

New API users receive $5 free credits.

Business fit

What to know before you commit

Pros

  • Strong reasoning and safety focus
  • Prompt caching cuts cost for repeated context
  • Long context (1M tokens) for large documents
  • Batch API for bulk workloads
  • API and consumer options

Considerations

  • No Workspace/Office integration out of the box
  • API costs scale with volume
  • Consumer Pro is per-user

When it makes sense: Good for document-heavy workflows, research, and teams wanting strong reasoning. API suits developers; Claude.ai suits individuals and small teams.

Data handling

Where your data goes

Anthropic states they do not train on customer data. Check latest terms.

GDPR / compliance. Enterprise terms available; check data processing agreement.

Data sovereignty. Check Anthropic for region availability.

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.