Project management pricing tracker

ClickUp vs monday.com pricing

Both of these are in Project management, and we read both pricing pages the same way, with the same reader. Everything below is what each page printed on the day we read it. Both pages read on 14 Aug 2026.

We check each page about once a day, so this is a daily reading, not a live feed. Prices are copied as printed, never converted and never averaged.

The two pages

Tier by tier

Rows are lined up by position on each page, not by tier name, because the names never match across two vendors. Row 1 is the top tier on each page, row 2 the one under it. Where one page has fewer tiers than the other, the row is left blank rather than paired with something it is not.

  1. Row 1
    ClickUp
    Free ForeverFree
    monday.com
    FreeFree
  2. Row 2
    ClickUp
    Unlimited$10/user/mo

    $7 on annual billing

    monday.com
    Basic$9/seat/month
  3. Row 3
    ClickUp
    Business$19/user/mo

    $12 on annual billing

    monday.com
    Standard$12/seat/month
  4. Row 4
    ClickUp
    EnterpriseCustom
    monday.com
    Pro$19/seat/month
  5. Row 5
    ClickUpNo tier at this position.
    monday.com
    EnterpriseCustom

The entry tier

monday.com is the cheaper of the two at the entry tier: $9/seat/month on Basic, against $10/user/mo on Unlimited. That is $1 less, 10 percent below ClickUp.

Both figures are charged per person, per month, so they are like for like. This is the cheapest paid monthly tier we can read on each page. Free tiers, quoted tiers and per-unit rates are left out, because none of those is a figure you can put next to another company's figure.

Changes we recorded

Every change we have written up for either page, newest first.

  • monday.com restructures AI offerings from named agent SKUs to metered Monday AI with notetaker hours, removes Ultimate AI plan, and shifts to per-seat/month CRM pricing model.

    monday.com13 Aug 2026

    monday.com restructures AI offerings from named agent SKUs to metered Monday AI with notetaker hours, removes Ultimate AI plan, and shifts to per-seat/month CRM pricing model. Why it matters: • monday.com is moving from premium AI agents (Outreach Caller, Lead Sourcer, Build Your Own, Meeting Prep) as marquee features to a consumption-based 'Monday AI' model, signaling lower willingness-to-pay or poor adoption of named agents—competitors should validate if customers actually want these agents or prefer simpler AI tools • The removal of Ultimate AI (previously positioned as 'absolute best support' with white-glove migration, 25k API calls/day, advanced permissions) suggests monday.com is consolidating tiers and reducing premium service differentiation—an opening for competitors to own enterprise support/customization • CRM positioning shifts from contact/deal limits tied to plan (100k in Ultimate) to 'per seat/month billed annually' model, implying a transition away from feature-based pricing toward seat-based, which could lower ARPU if per-seat costs are aggressive—competitors should stress TCO and validate their own pricing elasticity. Pricing & Billing: - New 'per seat/month, billed annually' pricing model for CRM offering (added), replacing prior contact/deal-limit tiers - Ultimate AI plan removed entirely (no legacy pricing provided, but was premium tier) Plans: - Added 3-tier structure: Starter (for individuals/small teams, includes 3 workflows), Pro (growing business teams, 20 workflows), Advanced (large teams, 250 workflows) - Removed Ultimate AI as standalone premium plan - Pro plan now includes 100,000 contacts & deals (previously in Ultimate AI) - Advanced plan introduced with custom workflows and enterprise needs positioning AI & Features: - Replaced named AI agents (Outreach Caller Agent, Lead Sourcer Agent, Meeting Prep Agent, Build Your Own Agent, AI Work Assistant) with generic 'Monday AI' consumption model - Monday AI now uses 'Start for free, buy more as needed' messaging (3 new capabilities: context-aware assistant, AI meeting recording/transcription/summaries with 'Notetaker hours' metering) - Removed 'Standard AI' and 'Pro AI' tier labels; 'Ultimate AI' plan deleted - Removed 'AI credits' and 'AI-powered data fields' / 'Smart fields' features from explicit positioning - Added 'Notetaker hours' as new metered consumption unit for meeting AI Workflows & Automation: - Workflows now featured as core tier differentiator: 3 (Starter), 20 (Pro), 250 (Advanced) - Added explicit 'Build and run workflows to connect work across your boards' messaging - 'Custom automations' and 'Email sequences' remain but no longer tied to named agents Support & Enterprise: - Removed 'Our absolute best support', 'Tailored onboarding', 24/7 prioritized support, white-glove migration from Ultimate AI plan messaging - Advanced plan now says 'Enterprise-grade support' (new, less detailed than removed Ultimate phrasing) - Added 'Enterprise-grade security & control' positioning under Advanced (marked 'Soon') What to do: • Audit competitive win/loss data against monday.com to confirm if removal of named agents (Outreach Caller, Lead Sourcer) signals real customer indifference or internal monday.com product strategy shift—if customers wanted these, highlight your differentiated agent offering in sales collateral. • Map monday.com's new per-seat CRM pricing against your own; if they're aggressive on per-seat cost, run a TCO comparison (total workflows, users, support included) and position your pricing as more predictable or bundle-friendly for mid-market. • Monitor what 'Notetaker hours' pricing and limits become when Advanced plan leaves 'Soon' status—if it's a major consumption lever, consider your own AI meeting summarization positioning and decide whether to compete on price, capability depth (transcription quality), or bundling strategy.

Both pages were read on 14 Aug 2026 by the same reader, so the figures above are two prices from one day rather than two prices from two moments. Prices are copied as printed, never converted and never averaged, and a vendor can change a page any time after we read it. Open both pricing pages before you act on any of this. More Project management comparisons, or the dataset behind all of it.

Watch both of these yourself

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