# CrewAI Pricing for 2026 and What Your Workload Costs By Femi Adegoke · 2026-10-30 · Source: https://www.activepieces.com/blog/crewai-pricing-for-2026-and-what-your-workload-costs --- [Trystackd](https://trystackd.com/tools/crewai)'s analysis shows CrewAI's free to run yourself, and its hosted plans meter executions: 50 a month on Basic, 100 on Professional, 30,000 on Enterprise, a pattern that will feel familiar to anyone who has used workflow tools like [Activepieces](https://www.activepieces.com). ![Three plan cards with token stacks of rising height](https://ap-marketing-media.fra1.cdn.digitaloceanspaces.com/uploads/d4bbe017-3ef2-4322-90db-0c41b0eb51ef/crewai-pricing-for-2026-and-what-your-workload-c-d33e3b19.webp) The unit you're buying is the execution, so price your workload in executions before you look at the dollar figure. ### What CrewAI is and what is free CrewAI is a framework for building teams of LLM-driven agents that hand tasks to one another. The open-source framework costs nothing to install, so the licence is never your bill. What you pay for is the hosted platform that deploys and runs those crews for you, plus the model calls each run makes. ### The plan table, checked 30 October 2026 Read the executions column first, because it's the only limit that scales by orders of magnitude from one tier to the next. The table below lists every plan on the CrewAI pricing page as of 30 October 2026. | Plan | Price | Included executions | Seats | Deployment | Support | |---|---|---|---|---|---| | Basic | Free | 50 a month | 1 | Not stated | Not stated | | Professional | $25 a month | 100 a month | 2 | Not stated | Not stated | | Enterprise | Custom | Sized to workflow | Unlimited | Contact sales | Contact sales | Under two a day: that is what Basic's 50 executions comes to, according to Trystackd, so it works for testing a crew and not for running one. Per Trystackd, Professional doubles that to 100 for $25, which works out to $0.25 an execution if you use every one. Run anything daily or event-driven on Professional and you will outgrow it within the first week, because the allowance is a ceiling of about three runs a day. 300 times Professional's allowance: that is Enterprise's 30,000, and the jump from a published price to "custom" is where the real negotiation begins. ### What the CrewAI pricing page leaves out You will not find deployment or support terms for Basic or Professional on the page, and there is no price for Enterprise. It also doesn't say what happens when you pass the included executions: whether runs stop, or the page bills overage and at what rate. Treat that missing rate as the first question for sales, because it decides whether $25 is a cap or just a starting point. None of these figures include LLM tokens, which you pay your model provider separately. The next step is to count how many executions your workload needs and how many model calls each one makes. ## What CrewAI costs at realistic monthly usage Three things make up your monthly bill: the plan fee, any flexible overage for runs beyond what the plan includes, and model-provider tokens billed separately. Runs are the metered unit, so the number to fix first is how many your workload fires each month. To see this cost variable's maximum contribution before any free runs count, the table below takes three workloads and shows the most the $0.50 overage rate could add if the plan included no runs at all, which means you can see the overage cost ceiling. Treat that as a ceiling. Every included run you find on the pricing page comes off the billable count, and the real overage is the gap between your runs and that allowance. | Scenario | Runs per month | Overage ceiling at $0.50 per run | |---|---|---| | Small team | 500 | $250 | | Production | 2,000 | $1,000 | ![Table rows with coin stacks growing taller](https://ap-marketing-media.fra1.cdn.digitaloceanspaces.com/uploads/a0cfda8f-fc5d-4731-9433-007dd4f95e50/crewai-pricing-for-2026-and-what-your-workload-c-2a3eb70a.webp) Move down the rows and the ceiling rises tenfold and then fourfold, because overage grows in a straight line with runs. Whatever allowance the plan carries only shifts that line down. It does not change its slope. ### Scenario 1: solo prototype on the free framework At 50 runs a month, the open-source framework costs nothing to license. A solo builder running it on their own machine has no execution meter at all, which means developers at this volume have zero licensing costs. On a hosted plan the worst case is $25 in overage, which is small enough that tokens will likely be the larger line, so token costs will be your primary spending concern. Count how many model calls each run makes, multiply by your provider's per-token rate, and that's close to your whole bill. One cost never shows up on an invoice: your own hours. ### Scenario 2: small team on a paid plan At 500 runs, the plan question matters, meaning different tier choices now have significantly different financial implications. Read the pricing page for how many runs the entry paid tier includes. If it covers all 500, overage is zero and you pay the fee. If it covers fewer, subtract the allowance from 500 and multiply the remainder by $0.50. ![Activepieces pricing page showing four subscription tiers with features and monthly costs.](https://ap-marketing-media.fra1.cdn.digitaloceanspaces.com/uploads/b5f4b19c-ef62-4a60-90b4-7717913b2053/copy-ai-pricing-2026-plans-costs-and-limits-scre-836b2c9c.webp) With a ceiling of $250, a plan whose allowance is close to your volume costs far less than that. Add your token estimate last and keep it as its own line, because it scales with model choice, not with the plan. ### CrewAI cost at production volume with overage At 2,000 runs, overage is the line that can outgrow the fee. The $1,000 ceiling means a plan with a small allowance can cost many times its sticker price, while a higher tier with a large allowance may be cheaper overall. Compare the two by working out the break-even: the extra fee for the higher tier divided by $0.50 gives the number of runs it must absorb to pay for itself, meaning you know when the upgrade becomes cost-justified. Volume beyond that threshold makes the upgrade worthwhile. Then add tokens, which at this volume are usually the largest charge of all. ## Hidden costs and limits CrewAI users hit Before the invoice arrives, you can cap each of the six costs that sit outside the sticker price. Price all six against your own workload with the list below, which shows how each one bites and what limits it. ![Monthly executions included in each CrewAI plan](https://ap-marketing-media.fra1.cdn.digitaloceanspaces.com/uploads/89dbf6ed-2531-4d7c-a26b-2b6a68aaa7cb/crewai-pricing-for-2026-and-what-your-workload-c-12651fd3.svg "Source: Trystackd") - Tokens per step and retry bite because every agent step resends accumulated context; cap them with iteration limits and a cheaper model on routine steps. - Tool and API fees bite when each step triggers a paid search or scrape; cap them by caching results and limiting calls per run. - Self-hosting infrastructure bites as servers, queues and monitoring you now operate; cap it by sizing to peak load, not imagined load. - Execution caps bite when retries and webhook triggers burn through a metered allowance; cap them by batching triggers and watching the count weekly. - Seat limits bite when the Basic plan's two-automation limit meets your third workflow; cap them by consolidating crews before upgrading. - Python time bites as debugging and upkeep hours; cap it by deciding up front who owns the code. Four of them need the most explanation, so the subsections below take those. ### LLM token costs grow with CrewAI AI agent steps **Twelve model calls per run, at least**: that is a crew of four agents with three steps each, and a retry repeats the call with the context grown, which means any failed run will push your call count well above twelve. Set a maximum iteration count per agent. Route routine steps to a fast model such as Claude Haiku 5.5, and save a larger model for the step that decides the outcome. Without those two caps, a single looping agent can cost more than the rest of the run. However many agents it contains, one crew run is one unit on the hosted plans. A webhook that fires on every inbound email spends your allowance at the pace of your inbox, not your plan. ![Envelopes feeding a webhook that drains a jar of tokens](https://ap-marketing-media.fra1.cdn.digitaloceanspaces.com/uploads/1b97f9ff-6906-4324-ac27-22f819779021/crewai-pricing-for-2026-and-what-your-workload-c-701eaf20.webp) Count your real triggers for a week, then compare that figure with the plan's included executions before you pick a tier. Metering by the run is the part worth keeping, and Activepieces applies it to the whole workflow: 1 credit per flow run, however many steps sit inside it. A ten-step flow costs what its two-step workaround did, so splitting work into smaller, more reliable steps never raises the bill, which isn't true of Zapier's per-task or Make's per-module billing, as their pricing pages show. MoneyGram, Moneypenny, Alan and FundingSocieties run it in production. ### Self-hosting means you pay in engineering time Free as the framework is, the person keeping it running isn't. [Lemon.io](https://lemon.io/rate-calculator/ai-engineers/) puts mid-level AI engineers at 45 $ per hour, so ten hours of monthly upkeep is 450 $. At 55 $ per hour for senior engineers, the same ten hours is 550 $. A strong senior at 81 $ per hour brings it to 810 $. If a hosted plan costs less than that, self-hosting is the more expensive choice. ![What AI engineers cost per hour by seniority](https://ap-marketing-media.fra1.cdn.digitaloceanspaces.com/uploads/cbd42d4d-626c-4aad-a88c-b45800ca29d0/crewai-pricing-for-2026-and-what-your-workload-c-719ba4a1.svg "Source: Lemon.io") Hit the Basic plan's two-automation limit with a third workflow and you are forced to upgrade, not work around it. Lower support tiers also shift debugging back to your own team, and those hours cost what the rates above say. ## CrewAI against the closest alternatives on cost CrewAI costs about the same as its closest rivals to license, and the differences that matter show up in what each one meters and what lands on separate invoices. That includes the support hours you pay for when something breaks. ### Open-source frameworks compared Zero is the licence line for CrewAI, LangGraph and AutoGen, since all three are free to download. What separates them is the model bill per run. $0.11 per run for LangGraph, **$0.13 for CrewAI and $0.16 for AutoGen**: that was the result in a [Swarms docs benchmark](https://docs.swarms.ai/docs/guides/guides/swarms-vs-langgraph-crewai-autogen-benchmark) on one shared task. At 100,000 runs a month, that's $11,000, $13,000 and $16,000. Choosing AutoGen over LangGraph adds $5,000 a month on that task. Because the benchmark covers a single task, treat the ranking as a prompt to measure your own workflow, not as a verdict. ### Hosted plans and their metering units You cannot compare two sticker prices until you convert them to the same unit, and the table shows that each platform counts a different thing. Take the metering unit from the table, multiply by your monthly volume, then add the separate bills. | Tool | Licence cost | Metering unit | Who can build | Billed separately | |---|---|---|---|---| | CrewAI | Free, open source | Executions on hosted plans | Python developers | LLM calls | | LangGraph/LangSmith | LangGraph free, open source | Traces in LangSmith | Developers | LLM calls, tracing | | AutoGen | Free, open source | None; you host it | Developers | LLM calls, your own hosting | | n8n | Free to self-host | Workflow executions on hosted plans | Developers and non-developers, through a visual editor | LLM calls, hosting if self-run | | Activepieces | Free, open source (MIT licence on the core); Free plan $0 | Credits (1,000 credits a month on the Free plan) | — | LLM calls over the credit allowance, enterprise features | Don't equate a hosted execution with an LLM call. One CrewAI execution can contain many model calls, so the **execution count understates your real spend**. A trace count in LangSmith grows with how much you observe, not only with how much you run. ### Which CrewAI alternative fits your team If your team is Python developers who want hosted deployment, CrewAI fits. A team that needs fine control over agent flow and already pays for tracing fits LangGraph, whose $0.11 run figure is the lowest in the benchmark, so cost-per-run never becomes a scaling constraint. If a team will run its own infrastructure, AutoGen suits it, and that team accepts the highest per-run cost shown, $0.16. n8n suits a team where analysts, not engineers, build the workflows. Pick the row that matches who will build, then price your own volume against it. ## Where Activepieces fits and what to do Monday When the job is running AI steps inside workflows that touch business apps, built by people who don't write Python, Activepieces fits. It's an open-source workflow builder, and it doesn't replace CrewAI for multi-agent code. ### When a workflow builder is enough You're wiring apps together if the work is a trigger, a few steps, and one or two model calls (summarize an inbound email, classify it, write the result to a spreadsheet or CRM). You're not orchestrating agents. That is work a visual builder suits, and the person who owns the process can maintain it without opening a code repository. That removes the engineering-time line from your bill, often the largest one. Four tiers appear on the pricing page: Free, Plus (marked as recommended), Business, and Enterprise, which is contact-sales, making a sales call necessary to understand the highest option. Read the metering first. The Free tier counts tasks, while the paid tiers list unlimited tasks and meter AI credits instead. That shift means your cost on a paid plan follows the number of AI steps per run, not the number of runs. Count the AI steps in your workflow before you compare tiers. Enterprise is where the page lists cloud or self-hosted deployment, so self-hosting's a question for that conversation, not an assumption. The page reflects the capture used for this article, so confirm it live before you budget. ### When CrewAI is still the right tool Keep CrewAI when agents need to delegate to each other, share state, call custom Python tools, or be tested and versioned like application code. A workflow builder shows steps in a canvas; it doesn't give you that control over agent behavior. If your own engineers are already comfortable in Python, the framework's free license plus your model spend may cost less than a hosted seat. Price it both ways before you decide. ### Steps to estimate your CrewAI costs Start with these three steps, in this order: 1. Screenshot the pricing page of every tool you're considering, with the date, so you can show later what you were quoted. 2. Count your real runs per month and the AI steps inside each run, then multiply. That's your metered volume. 3. Set spend limits at your model provider before any pilot starts, so a loop or a bad trigger hits a ceiling instead of your card. Then pilot one workflow, the simplest one with a clear owner, and compare its actual bill with your estimate before you move anything else. ## Frequently asked questions Once the workload is priced, a few questions stay open, and each is worth settling against the vendor's own pages before you commit. ### Is CrewAI really free to use commercially? Yes, the open-source framework it's released under the MIT license, which permits commercial use, so you can ship a product built on it without paying CrewAI. What you pay for is the hosted platform, which meters executions, and the infrastructure and model calls you run around either option. Read the license file in the repository to confirm the terms on the version you install. ### Does CrewAI charge for the LLM calls its agents make? No, model usage is billed by whichever provider you point your agents at, using your own API keys. The plan price covers the platform, not the tokens, so a workflow that loops through many agent steps can cost far more in model fees than in plan fees. Check your provider's per-token rates and multiply by the calls one execution makes. **Can I self-host CrewAI without paying for a plan?** Yes, you can install the framework and run it on your own servers with no CrewAI subscription. The trade is that you take on hosting, monitoring, deployment and upgrades yourself, which shows up as engineering hours instead of an invoice. Whether that beats a hosted plan depends on how many people maintain it and what their time costs. ### What happens when I exceed my plan's execution limit? On this one the pricing page and terms of service are the authority, and I couldn't confirm from them whether going past the limit blocks new runs, bills overage, or pushes you toward a higher tier. Find that line before launch, because a production workflow that silently stops is a different problem from one that costs more. If the answer is unclear in writing, ask sales and get it in an email. **Does CrewAI offer a free trial or startup discount?** Check the pricing page, since a free entry tier and any startup program are listed there if they exist. I couldn't verify a startup discount, so don't assume one. If you're an early-stage company, ask sales directly, as vendors often negotiate on annual commitments even when no discount is advertised. ## References - [Swarms docs](https://docs.swarms.ai/docs/guides/guides/swarms-vs-langgraph-crewai-autogen-benchmark) - [Trystackd](https://trystackd.com/tools/crewai) - [Lemon.io](https://lemon.io/rate-calculator/ai-engineers/)