Linear vs Jira vs Asana in 2026: Price the Exit, Not the Seat
The seat prices are close enough that they should not decide this. Jira Data Center is being retired, Atlassian bills your peak headcount each month, and the MCP gap that looked like Linear's moat a year ago closed on all three.
Three things changed the shape of this comparison in the last year, and none of them are features. Atlassian announced the end of Data Center. Atlassian also started billing Cloud on your peak user count each month. And the integration gap that looked like Linear’s structural advantage in 2025 closed, because all three vendors now ship a generally available MCP server.
What is left to decide on is billing shape and exit cost. Prices and dates below came off the vendors’ own pricing and licensing pages on 22 August 2026.
Self-hosting Jira has an end date now
This is the biggest item and it gets buried under pricing talk. Atlassian’s Data Center end of life notice covers Jira Software, Jira Service Management, Confluence, Bamboo, Crowd, and Marketplace apps. Bitbucket Data Center is the exception and gets a Hybrid License instead.
If your reason for staying on Jira was data residency, an air gap, or a compliance posture that ruled out Cloud, that reason now has a countdown attached. The decision is no longer Jira versus Linear. It is Jira Cloud versus something else, and you have to make it either way.
Peak-headcount billing on Cloud
Atlassian’s maximum quantity billing rolled out from July 2025 across Jira, Jira Service Management, Jira Product Discovery, Confluence, Compass, Guard, Loom, and Marketplace apps. The rule is short: “Your bill is based on the maximum amount of users you have throughout your billing period.”
Two clarifications, because this gets exaggerated. The window is the monthly billing cycle, not your contract term, and the following month is set by your user count on the last day of the previous one. So a spike does not follow you to renewal. What it does mean is that removing users mid-cycle earns you nothing: “there won’t be any deductions, refunds or credits from your billed user quantity.” You get spare seats to reallocate, not money back.
For a team with a steady roster this is a non-event. For one that runs contractors, seasonal staff, or a lot of short-term guest access, two organizations with identical average headcount can pay materially different amounts.
What the seats actually cost
| Free tier | Mid tier | Upper tier | |
|---|---|---|---|
| Linear | unlimited members, 250 issues | Basic $10 | Business $16 |
| Jira Cloud | up to 10 users | Standard $7.91 | Premium $14.54 |
| Asana | Personal, up to 2 users | Starter $10.99 | Advanced $24.99 |
Per user per month, billed annually. Asana’s monthly rates are meaningfully higher, at $13.49 and $30.49, and it sells a Timesheets and Budgets add-on at $5.99 per user per month on top. Linear and Jira both quote Enterprise as custom and annual-only.
Two of these numbers are worth pausing on. Jira Cloud Standard is the cheapest seat in this comparison, which surprises people who have absorbed the idea that Jira is the expensive option. And Asana Advanced at $24.99 is more than half again what Linear Business or Jira Premium cost.
For twenty-five seats on annual billing that is $2,373 a year for Jira Standard, $3,000 for Linear Basic, and $3,297 for Asana Starter. At the upper tier: $4,362 for Jira Premium, $4,800 for Linear Business, $7,497 for Asana Advanced.
Those gaps are small next to a migration. Which is the point: the seat price is not what this decision is about.
AI is now included, and metered differently
A year ago Linear sold AI as a per-user add-on and Atlassian shipped it as a feature. Both models are gone.
Linear folds AI into the paid plans, with two features carved out. Triage Intelligence, Code Intelligence, and Linear Asks come with Business; coding sessions and loops are marked as requiring AI credits.
Atlassian went further toward metering. Rovo Search, Chat, and Agents are on every paid Jira plan, and the plans differ by allowance rather than access: Jira includes 25 credits per user per month on Standard, 70 on Premium, and 150 on Enterprise, pooled across the organization and reset monthly. Rovo Search does not consume credits; Chat and Agent requests do. Atlassian’s pricing page adds that it is not charging for usage past the allowance today, and has committed to at least ninety days’ notice and an explicit opt-in before that changes. Read that as a price that exists and is currently set to zero.
Asana keeps AI Studio on Starter and above.
The durable observation here is not which AI is better. It is that two of the three have moved a chunk of the bill from per-seat to per-use, and per-use lines are the ones that surprise you.
The MCP moat closed
In 2025 the interesting asymmetry was that Linear shipped an MCP server while Atlassian’s AI worked only inside Atlassian’s own products. That was a real difference and it lasted about a year.
Atlassian’s Rovo MCP Server is now generally available across Jira, Confluence, and Bitbucket Cloud, and works with Claude, ChatGPT, Cursor, VS Code and others. Asana’s V2 MCP server is generally available at mcp.asana.com/v2/mcp with OAuth, and the V1 beta shuts down on 5 August 2026. Linear’s agent platform is in every plan including the free one.
So all three are readable and writable by an agent. If you picked a tracker in 2025 on that basis, the basis is gone. I would take that as a lesson about which differences to weight: integration surfaces converge within a release cycle or two, and billing structure and data portability do not.
What actually still separates them
Linear is opinionated on purpose. Cycles instead of configurable sprints, a built-in triage view instead of a bug-intake workflow you design, constrained workflow states, limited custom fields. You cannot model a fourteen-step approval process. For product engineering teams that is the feature: the tool will not help you build a maze. For regulated software, hardware, or government work it is a wall. The keyboard-first interface and the local-first sync model are the two things reviewers consistently single out, and they are the sort of thing you either notice every day or do not care about at all.
Jira’s case has never been the day-to-day interface. It is that Confluence, Bitbucket, Compass, and Statuspage are one contract and one identity model, and that Jira’s audit trail is what SOC 2, HIPAA, and FedRAMP auditors already expect to see. Each individual piece has a better standalone competitor. Running seven vendors instead of one is not free either. That case is genuinely weaker than it was, because the Data Center exit removes the deployment model that some of those compliance postures depended on.
Asana is rarely the right pick for a team running sprints, and is a good pick for the function next door. Cross-functional work with eight stakeholders, launches that span design and sales and support, goals tracked across departments: Asana’s Goals, custom fields, and timeline view are built for that, and AI Studio lets non-engineers assemble automations. Cycle planning is awkward and the GitHub integration is not why anyone chooses it. The arrangement that works is Asana for the company and Linear for engineering, accepting two tools.
How I would decide
If you are on Jira Data Center, the deadline decides for you: you are moving to Jira Cloud or off Jira, so evaluate both properly rather than defaulting to the same vendor because it is the same logo.
If you are small and engineering-led with no compliance requirement, Linear, and start on the free tier until the 250-issue cap bites. That is roughly six weeks for a five-person team, so treat it as a trial and not a plan.
If you are large with a CISO and an existing Atlassian agreement, Jira Cloud Premium, and put the Rovo credit allowance in the budget conversation now rather than when metering starts.
If engineering is one team among many, run Asana for the company and Linear for engineering.
Whichever way it goes, the migration is where the money is. Linear’s Jira importer handles issues, statuses, comments, and basic custom fields, and the parts that hurt are predictable: workflow states need deliberate remapping rather than importer guesswork, heavily customized fields need rethinking rather than mapping, and attachments on a large workspace take hours. Most Jira workspaces are majority stale tickets, so archive before importing rather than after.
If you have a renewal next quarter, do that math now. Not at the deadline.