ChatHop vs Type: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of ChatHop and Type — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

ChatHop

Freemium

Moves an in-progress AI chat, with its context, into a different assistant in one click, or copies the whole thread out.

One-Click Conversation Transfer: Pick a destination AI and a reason for moving, and ChatHop carries the existing conversation context into a fresh chat there.
Review Before Send: The transferred conversation lands in the destination composer for you to read and edit; nothing is submitted until you act.
Optional Auto-Send: Auto-send can be enabled for faster hops but ships off by default, so transfers never fire without your say-so.
Full Chat Export: Copy an entire conversation to the clipboard as plain text or Markdown for pasting into docs, email, notes apps, code editors, or Slack.
Multi-Service Support: Works with the major AI chat services already in a typical daily workflow, so you keep working where you work.
No-Account Start: 20 free uses every month with no signup, password, or card required to begin.
Scoped Context Access: Conversation content is read only at the moment you initiate a transfer or copy, not continuously in the background.
Billing Isolation: Conversation text is never sent to ChatHop's billing service, and Stripe handles checkout so full card details are never exposed to ChatHop.

Escaping a Rate Limit: When one assistant cuts you off mid-task, hop the whole thread to another service and continue without re-priming it.
Getting a Second Opinion: Move a thorny question to a different model to compare answers on the same fully-stated context.
Model Switching Mid-Task: Start exploratory work in one assistant and shift to a stronger or cheaper model once the problem is well defined.
Archiving a Session: Copy a finished conversation as Markdown into notes, a wiki, or a project document for a durable record.
Sharing With Teammates: Export a chat as plain text and paste it into Slack or email so a colleague can pick up where you left off.
Feeding Context Into an Editor: Paste a full conversation into a code editor or document to turn a chat into working material.

Paid

Shared team workspace where colleagues collaborate with Claude and Codex using the AI subscriptions they already pay for.

Shared Spaces: Team-level workspaces where threads, docs, and apps live together, so AI work from individual conversations compounds instead of disappearing.
Bring Your Own Subscriptions: Connect the Claude and Codex plans the team already pays for rather than buying a separate seat-based AI plan.
Self-Learning Memory: Context, memory, and skills accumulate in a shared company brain that keeps improving as the team works.
Shared Integrations: Securely share access to connected tools across a Space so teammates can act on the same systems without duplicating credentials.
Works Where You Communicate: Tag Type from Slack, email, or a meeting and have the work sync back to the dedicated desktop and mobile apps.
Always-On Automations: Unlimited skills and automations run 24/7 on shared cloud computers, so repeatable work continues outside active sessions.
Usage Controls and Permissions: Administrative controls over credits, access, and permissions across team members and Spaces.

Marketing Campaign Production: A growth team drafts a monthly product announcement email in a shared thread, pulling in past sends and recent releases.
Creative Asset Review: A brand team asks an agent for on-brand image directions inside a Slack channel and keeps the resulting thread in a shared Space.
Engineering Collaboration: Developers share Codex conversations so teammates can pick up context on a change instead of restarting from scratch.
Institutional Knowledge Capture: Turn one-off AI conversations into a durable, searchable team memory rather than private chat history.
Recurring Workflow Automation: Set up repeatable skills and automations that run on a schedule against the team's connected tools.