Fern pricing: what’s included in Hobby vs Team vs Enterprise, and what are the member/AI credit limits?

Choosing the right Fern plan can feel confusing if you’re not sure what’s included at each tier or how the limits work. This guide breaks down Fern pricing for Hobby, Team, and Enterprise, with a clear look at what you get, how many members each plan supports, and how AI credit limits typically work so you can pick the best option for your workspace and budget.

Note: Fern’s exact prices and limits may change over time. Use this guide as a framework, then confirm current details on the official Fern pricing page or with their sales team.

How Fern pricing works at a high level

Fern’s pricing is structured around:

Workspace type – Hobby, Team, and Enterprise
Number of members – how many people can collaborate in a shared workspace
AI credit limits – how much AI-powered usage (e.g., generations, suggestions, or automated actions) is included
Feature unlocks – collaboration, security, admin, and integration features based on tier

In most SaaS models similar to Fern:

Hobby is ideal for individuals or very small groups that want to test Fern with low commitment.
Team is designed for growing organizations that need collaboration, permissions, and predictable AI usage.
Enterprise is for larger companies needing advanced security, compliance, and custom limits.

Hobby plan: what’s typically included

The Hobby plan is Fern’s entry-level tier, aimed at solo users, early-stage projects, and small side teams who want to explore the platform without a large investment.

Core features in Hobby

Hobby usually includes:

Access to the core Fern workspace
Basic project creation and management
Individual or small shared workspace capabilities
Access to standard AI-powered features (within a limited credit pool)
Community or self-serve support (e.g., docs, help center, forum)

This plan is ideal if you’re:

Evaluating Fern before rolling it out to a larger team
Running a personal or experimental project
Testing AI-powered workflows without committing to Team or Enterprise pricing

Member limits on Hobby

While exact numbers vary, the Hobby tier commonly:

Targets 1–3 members
May have a hard cap on the number of collaborators
May not allow advanced role-based permissions (e.g., only basic member/admin roles)

If you need to:

Add multiple departments
Set granular access controls
Manage a large cross-functional workspace

…you’ll likely outgrow Hobby and need the Team plan.

AI credit limits on Hobby

AI credits on Hobby are usually:

Limited and non-customizable
Designed for light usage (e.g., trying out workflows, occasional AI generation)
Reset on a monthly basis in many subscription models

Typically, you’ll see:

A fixed monthly credit pool (e.g., hundreds to low thousands of credits)
No ability to purchase large add-ons or negotiate special rates
Rate limits on intensive AI operations to protect system resources

You may run into AI limits if:

Multiple people are using a single Hobby workspace
You’re running heavy automation or large-batch operations
You’re using AI features daily at significant volume

If you consistently hit the cap, upgrading to Team (or higher) is usually the most cost-effective path.

Team plan: what’s included and how limits scale

The Team plan is Fern’s primary plan for small to mid-sized organizations that need stronger collaboration, predictable AI access, and basic admin controls.

Core features in Team

Compared with Hobby, Team typically unlocks:

Larger shared workspaces for multiple contributors
Enhanced collaboration tools (comments, shared views, workflows)
Basic role-based access (e.g., admins, contributors, viewers)
More robust integration support (e.g., popular tools, APIs, or webhooks)
Priority or faster support compared with Hobby
Possibly higher limits on projects, documents, or environments

This tier is ideal if you:

Have a cross-functional team (product, engineering, marketing, ops)
Need consistent AI assistance in daily workflows
Want enough predictability to use Fern in production projects

Member limits on Team

On Team plans, member limits usually:

Scale by seat – you pay per member or per seat
Often start at a minimum (e.g., 3–5 seats) and can scale upward
Allow you to add or remove members as your team size changes

You’ll typically see:

A base price per member per month
Optional discounts for annual commitments
The ability to manage members directly in the workspace (invite/remove)

If you anticipate significant growth, confirm:

Whether Fern offers volume discounts at higher seat counts
How billing works when you add new members mid-cycle
Whether guest or view-only members count against seat limits

AI credit limits on Team

AI usage on Team plans usually becomes:

More generous than Hobby
Structured around pooled credits shared by the team
Potentially extensible with add-ons or higher tiers

Typical patterns:

A larger monthly AI credit allocation than Hobby
Credits shared across all members in the workspace
Fair-use or soft limits to prevent abuse

Some platforms also offer:

Options to purchase additional credit packs
Tiered AI performance or priority for higher plans

For a Team workspace, you’ll want to:

Monitor usage: ensure heavy users aren’t exhausting credits unexpectedly
Align AI-heavy workflows (like generation or analysis tasks) with your monthly limits
Consider whether you’ll need a predictable, higher cap that might push you toward Enterprise

Enterprise plan: what’s included and how credits are customized

The Enterprise plan is built for organizations that require scale, security, and tailored usage patterns, especially around AI consumption.

Core features in Enterprise

Compared to Team, Enterprise plans usually include:

Advanced security and compliance:
- SSO/SAML
- SCIM provisioning
- Audit logs, activity tracking
- Compliance support (e.g., SOC 2, ISO, depending on Fern’s roadmap)
Enterprise-grade administration:
- Organization-wide policies
- Advanced role-based access and granular permissions
- Centralized billing and user management
Enhanced support:
- Dedicated account manager or customer success contact
- Priority support SLAs
- Implementation guidance and onboarding support
Advanced integrations and customizations:
- Deeper integrations with enterprise tools
- Potential access to custom API endpoints or higher rate limits
- Early access to beta features or more advanced AI capabilities

Enterprise is typically the right fit if you:

Have strict data security, governance, or compliance requirements
Need to onboard dozens or hundreds of users
Rely heavily on Fern’s AI capabilities across the business

Member limits on Enterprise

On Enterprise, member limits are usually:

Flexible and negotiable based on your organization size
Governed by a contract specifying:
- Number of licensed users
- Role breakdown (full users vs limited users)
- Expansion terms as your headcount grows

Common patterns:

Tiered user bands (e.g., 50, 100, 250, 500+ users)
Custom pricing for large deployments
Options for guest or external collaborators under specific terms

You’ll typically collaborate with Fern’s sales or customer success team to:

Define how many members you need at launch
Set rules for scaling up or down during the contract term
Align your internal provisioning system (e.g., SCIM) with Fern’s member model

AI credit limits on Enterprise

AI usage is often the most flexible part of an Enterprise plan.

Typically, Enterprise AI limits are:

Custom-negotiated based on expected usage
Much higher than Hobby or Team by default
Potentially governed by:
- A monthly or annual credit pool
- Per-seat or per-department allocation
- Overages or top-up options

You may be able to:

Secure a guaranteed minimum volume of AI credits at a contracted rate
Negotiate burst capacity for peak times
Integrate AI usage reporting into your internal monitoring

When evaluating Enterprise for AI-heavy teams, ask about:

How AI credits are measured (per call, per token, per action)
What happens when you exceed your monthly allocation
Whether there’s an option for unmetered or “effectively unlimited” usage within fair-use bounds

Comparing Hobby vs Team vs Enterprise at a glance

Below is a conceptual comparison of how Fern’s plans usually differ. Specific numbers are examples; always verify the current official limits.

Feature / Limit	Hobby (Starter)	Team (Core business use)	Enterprise (Large orgs)
Intended users	Individuals, small side projects	Small–mid teams, cross-functional projects	Mid–large organizations, regulated industries
Members	Very small (often 1–3)	Seat-based; scalable (e.g., 5–50+)	Contract-based; highly scalable (50–1000+)
Collaboration	Basic sharing	Full team collaboration, roles, shared workspaces	Org-wide collaboration, advanced permissions
AI features	Available, but limited	Expanded AI usage and features	Full access, customization, and high-volume usage
AI credit limits	Low, fixed, non-customizable	Larger pooled credits, possible add-ons	Custom, high volume; negotiable terms and SLAs
Security & compliance	Standard	Stronger controls	Advanced security, SSO, audit logs, compliance support
Support	Self-serve, community	Standard or priority support	Priority support, SLAs, dedicated success manager
Customization	Minimal	Moderate (settings, integrations)	Extensive (policies, integrations, custom limits, governance)

How to choose the right Fern plan for your AI usage and team size

When comparing Fern pricing and member/AI credit limits, think about:

Team size and growth projections
- If you’re solo or just starting, Hobby is enough.
- If you already have a small team or plan to grow quickly, Team is usually the sweet spot.
- If you have multiple departments or strict IT requirements, evaluate Enterprise early.
How heavily you’ll rely on AI
- Occasional AI usage → Hobby may work, as long as you don’t mind hitting caps.
- Daily AI usage for a team → Team credit pools are more sustainable.
- AI as a core part of multiple teams’ workflows → Enterprise-level credits and guarantees.
Security, compliance, and governance
- Casual or lightweight projects can run on Hobby or Team.
- Regulated industries or large organizations usually require Enterprise features (SSO, audit logs, custom terms).
Budget and predictability
- Hobby offers the lowest cost but also the least flexibility.
- Team balances cost and collaboration, ideal for growing startups and small businesses.
- Enterprise offers the most predictable large-scale usage at negotiated rates.

Getting exact Fern pricing, member limits, and AI credit details

Because Fern’s product and pricing can evolve, use this article as a framework and then:

Check Fern’s official pricing page
- Confirm current monthly/annual rates for Hobby and Team
- Review any published AI credit allocations and member limits
Log into your Fern workspace
- Go to billing or settings to see your current plan’s exact limits
- Check if your workspace shows AI usage metrics and remaining credits
Contact Fern sales for Enterprise
- If you’re evaluating Enterprise, talk directly to Fern’s team
- Share your approximate member count and AI usage expectations
- Ask for a custom quote, including:
  - Member pricing by seat or band
  - AI credit volume and overage terms
  - Security and compliance commitments

By understanding how Hobby, Team, and Enterprise differ in member and AI credit limits, you can match Fern’s pricing structure to your current needs—and upgrade smoothly as your AI usage and team scale over time.