Tettra vs Archbee Pricing (2026)

How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.

Tettra Archbee
Starts at $8/mo $80/mo
Number of plans 2 3
Free plan — —
Free trial
Pricing model per-seat flat-rate

Price is one row. To weigh the features too, use our feature comparison template →

Scaling

$8/mo
  • AI features
  • AI bot in Slack
  • Google Workspace integration
  • Usage Analytics
  • API access

Enterprise

Custom
  • Custom pricing
  • SSO & SCIM included
  • Hands-on training
  • Custom import and onboarding
  • Custom reporting

Growing

$80/mo
  • Unlimited readers
  • Unlimited project spaces
  • Public/private portals
  • Custom domain & branding
  • Custom JavaScript
  • Password protection
  • GitHub integration
  • API Documentation

Scaling

Popular
$350/mo
  • Complete branding control
  • Review system
  • Reusable content & variables
  • Versioning & localization
  • Advanced team/reader access control

Enterprise

Custom
  • All add-ons included
  • Multiple teams/orgs
  • AI-assisted translations
  • SAML & OIDC SSO
  • Invoicing options
  • Onboarding & training
  • Priority support

Tettra vs Archbee FAQ

Which one is cheaper?
Tettra starts lower at $8/mo, compared to $80/mo for Archbee.
Can I use either one for free?
Neither has a free plan. But Tettra and Archbee offer a free trial.
How do they charge?
Different approach here. Tettra uses per-seat pricing, while Archbee goes with flat-rate. That changes the math depending on your team size and usage.
Which one is a better deal?
Depends on what you need. Tettra: At $8/seat, Tettra sits mid-pack for wiki/knowledge-base tools — pricier than bare-bones docs tools but cheaper than heavier platforms like Guru or Confluence Premium once you factor in add-ons. The 10-seat minimum is the real story: it quietly pushes their effective floor price up, so they're not really courting solo teams or startups under 10 people. Archbee: Archbee sits in the middle of the docs-tooling pack — pricier than bare-bones wiki tools but cheaper than heavyweight enterprise knowledge-base platforms that charge per seat and can balloon fast. The flat-rate structure is a pitch to mid-sized product and eng teams who want cost predictability as they scale contributors, rather than enterprises who've already budgeted for per-seat tools.

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