Airtable’s new AI Agents (Field Agents via the Omni assistant) are available as part of its existing plans, using a credit-based cost model. As of mid-2025, Airtable changed its pricing: instead of a separate per-user fee, every plan now includes some AI credits by default. You pay mainly by how many AI credits you use. This guide breaks down the plans that include AI Agents, the pricing details (credits and fees), how AI costs differ from Airtable’s usual seat-based charges, when you’ll need to pay extra, and some alternative tools (like o-mega.ai) you might consider.
Contents
Which Airtable AI Agents plans are there?
What does Airtable AI Agents cost?
Main differences: Airtable AI Agents vs. Airtable’s normal pricing
When should I pay for Airtable AI Agents?
What are the best Airtable AI Agents alternatives?
1. Which Airtable AI Agents plans are there?
Airtable doesn’t sell an “AI Agents” plan separately. Instead, AI Agents features are included (or add-ons) on its standard plans. In practice:
Free plan: Cost $0. Includes AI features enabled by default. Every user on the Free plan gets a limited AI credit allowance (about 500 credits per user per month for experimentation) (xray.tech). This means free-tier users can try AI fields and agents up to that credit limit.
Team plan: $20/user/month (billed annually) (airtable.com). This tier includes the same base AI features. Historically, it required a $6/user “AI add-on” for higher usage, but since June 2025 that fee has been removed (support.airtable.com). Now every paid user on Team automatically has AI Agents enabled, and each billable collaborator brings 15,000 AI credits a month into a pool the whole workspace draws on (support.airtable.com).
Business plan: $45/user/month (billed annually) (airtable.com). Like the Team plan, Business includes AI Agents for all users. Business workspaces have extra admin controls, but AI billing works the same: each paid user adds 20,000 credits a month to a pool shared across the whole organization (support.airtable.com).
Enterprise Scale: Custom pricing (contact sales). Enterprise customers also get AI Agents as part of their account, with a larger pool of credits set per contract, 25,000 per paid user at list price. Importantly, from June 2025 onward Enterprise plans no longer incur any extra per-user AI fee – the credits are bundled into the plan (support.airtable.com).
Key point: No special “AI Agents” plan – the feature is built into all plans (Free and up). Free users get a small credit quota to experiment (xray.tech), while Team, Business and Enterprise Scale seats carry 15,000, 20,000 and 25,000 credits per user per month respectively (support.airtable.com).
2. What does Airtable AI Agents cost?
Airtable AI pricing is driven by credits rather than flat fees (after 2025). In simple terms: you still pay your plan subscription (e.g. $20 or $45 per seat), but the AI itself consumes credits. Each month, every paid seat includes a block of free AI credits: 15,000 per billable collaborator on Team, 20,000 per paid user on Business and 25,000 on Enterprise Scale, pooled across the workspace or organization rather than locked to one person, while a free seat still gets its 500 (support.airtable.com). These credits are used whenever you run an AI field, agent, automation, or query. You can do a fair amount with 500 credits: for example, a single AI sentiment check uses ~1 credit, while a 750-word content generation might use ~15 credits (xray.tech). Airtable’s own published table prices categorizing one piece of customer feedback at 1 credit, an Omni question or a web search at 10, and extracting terms from a 10-page contract at 200 (support.airtable.com). So a 5-person team on a $45 plan gets 100,000 credits total each month (20,000×5), enough for a great many light tasks.
If you run out of the included credits, you can buy more. Airtable offers extra “AI credit packs” (the smallest is 10,000 credits) to top up your allowance (xray.tech). Those packs carry public list prices: 10,000 credits cost $20 a month or $200 a year, 50,000 cost $100 a month or $1,000 a year, and the largest published pack, 400,000 credits, costs $800 a month or $8,000 a year (support.airtable.com). Free workspaces cannot buy packs at all: they have to move up to Team first. In other words, heavy AI use means buying more credits.
Examples:
A 5-user Team paying $100/month (5×$20) gets 75,000 pooled AI credits, which at 10 credits for an Omni question or a web search is 7,500 analyst-style queries a month, or roughly 375 ten-page contract extractions at 200 credits each (support.airtable.com). If they use each credit to generate a 750-word article (~15 credits each), they could auto-generate ~5,000 articles per month with those free credits (xray.tech).
Before June 2025, turning on full AI meant paying $6/user for the add-on (3,500 credits/user (xray.tech)); now that $6 charge is gone (support.airtable.com), so your only extra costs are credits or optional plans.
To summarize: you pay for AI Agents in Airtable by using credits. Your base seat cost (free, $20, $45, etc.) remains the same. If you need more capacity than the included credits, you purchase additional credit packs (10K, 50K, etc.).
The other variable is the model. Airtable does not bill per token, but the credit cost of an action moves with the model you choose, the size of the input and the length of the output, so the same field agent can be cheap or expensive depending on how it is configured (support.airtable.com). The roster spans OpenAI, Google Gemini, Anthropic via Amazon Bedrock, Meta Llama via Amazon Bedrock and IBM Granite via IBM Watsonx, and admins can restrict which of those platforms their organization is allowed to use. Building itself is the one free lane: creating or modifying an app with Omni costs 0 credits and keeps working even after the month’s allotment is gone.
3. Main differences: Airtable AI Agents vs. Airtable’s normal pricing
The key difference is usage-based vs. seat-based billing. Normally, Airtable charges simply per user (seat) on a plan (Free, Team, Business, etc.). With AI Agents, you charge per “AI action.” Each AI task (filling an AI field, running an agent, summarizing a document, etc.) costs credits.
Seat charges vs. credit consumption: Standard Airtable features (records, views, automations) don’t eat credits. You pay for them via seat licenses and plan limits. In contrast, every AI operation uses up credits. After June 2025, Team/Business plans no longer charged the $6/user AI seat fee (support.airtable.com). Instead, the “payment” for AI is absorbed into those seats, and extra use comes from buying credits.
Included quotas: With a normal plan, adding a user adds a fixed cost ($20 or $45) but no variable charges. With AI, adding a user also adds that user’s whole monthly allowance to the shared pool, 15,000 credits on Team and 20,000 on Business (support.airtable.com). However, using those credits is what matters: if your team never drains the pooled allowance, you effectively get the AI feature at no extra cost. If you do exceed it, that’s when you pay (via credit packs).
Rollover vs. reset: Regular Airtable plans let you use unused record/formula capacity indefinitely. AI credits do not roll over: they reset each month (airtable.com). This means you pay (buy new credits) if you have spikes of usage.
Example: On a Business plan, adding another collaborator costs $45/mo (seat fee). That new user also adds another 20,000 credits to the shared pool. But if everyone’s AI usage was already under limit, adding the seat just increases headcount cost, not AI cost. Conversely, blasting a table with thousands of AI lookups doesn’t change the number of seats, but would force you to buy more credits.
In short, standard Airtable pricing is flat and predictable (per-user/per-month), whereas AI Agents pricing is variable (per-credit). Your overall cost of using AI depends on how intensively you use it, not just how many people are on the account.
4. When should I pay for Airtable AI Agents?
You’ll need to purchase (or use) paid AI capacity when your free credits aren’t enough for your needs. Put simply, if your team’s AI tasks stay within the bundled credits, you don’t pay anything extra. But if you want to run more or bigger AI operations, you’ll hit the limit and have to pay (by buying credits).
Light or occasional use: Stick with the included credits. If each user’s AI needs are modest (maybe a few queries or small automations per week), the 15,000 to 25,000 credits per user per month often suffice several times over. In this case you might never need a paid add-on or extra credits – you just pay the normal seat fees.
Regular or heavy use: When your workflows need hundreds or thousands of credits monthly, you should buy an AI credit pack or upgrade plan before you hit the limit. For example, a marketing team generating weekly reports for a large dataset may quickly exceed its free credits and would need to top up.
Project bursts: If you have a one-time big project (e.g. bulk analyze 10,000 records), plan ahead: the credits don’t carry over (airtable.com). Airtable’s own estimates put a 10-page contract extraction at about 200 credits, a document of 50 pages or more at 500 to 1,500, and a job past 100,000 words at 2,000 to 5,000 or beyond (support.airtable.com). Either spread it over months or purchase enough credits to cover that burst.
Enterprise needs: Very large organizations with heavy AI needs should engage Airtable sales. Enterprise plans now include AI credits by default, and teams can negotiate for higher monthly limits rather than buying packs each time.
In practice, watch your AI credit usage (admins can monitor it). Airtable emails a warning once a Team workspace, or a Business or Enterprise Scale organization, passes 75% of its credit limit (support.airtable.com). Once the gauge hits 0, Airtable will block further AI actions until the month resets or you buy more. So you should “pay” (add credits) whenever you’re about to exceed your included monthly credits. Until then, just budget the base plan.
5. What are the best Airtable AI Agents alternatives?
If Airtable AI Agents or its pricing doesn’t fit your needs, several other tools can serve similar roles:
O-mega.ai: A dedicated AI agent platform. It lets you create “digital employees” with access to your data. Its meter is credits rather than seats: you start free with 200 credits, where one credit buys one build step, and enterprise agreements begin at $25,000 a year (o-mega.ai). (Its unit of work is a whole build step rather than a single AI field, so the two credit meters are not directly comparable.)
Relevance AI: A low-code AI-agent builder. Its published pricing is sales-led: the pricing page lists a single Enterprise tier with custom actions, custom vendor credits and unlimited agents, and quotes no self-serve figure at all (relevanceai.com), while pricing trackers put the entry Team tier at $349 a month for 7,000 actions plus $70 of vendor credits (lindy.ai). It provides a UI to chain AI tasks and connect them to data sources (like CRM or databases).
Notion AI / Coda AI: If you just need lightweight AI in documents or simple tables, these note-taking/spreadsheet tools have built-in AI features. Their pricing is per user and AI is no longer a separate line: Notion folds it into the paid seats instead of selling an add-on, and its autonomous agents run on a meter of their own at $10 per 1,000 monthly Notion credits (notion.com). Notion now ships agents of its own, on top of the older ability to summarize, generate content, and run simple workflows.
Automation hubs (Zapier, Make.com): These platforms can integrate AI models (for example via OpenAI) into no-code workflows. You pay per task or by subscription tier, and the AI work is just one step in a larger automation. They’re not Airtable-like databases, but can move data between apps and trigger AI tasks.
Other AI platforms: Tools like Hugging Face AutoGen, LangChain (if you’re technical), or specialized chatbot agents may be alternatives depending on your use-case. O-mega.ai (mentioned above) is one example of a competitor specifically for “AI workforce” automation.
Each alternative has its own pricing model (per-user, per-task, or credits). O-mega.ai and Relevance AI are explicitly built for AI agents/automation. Coda/Notion are more like lightweight databases with AI add-ons. For a closer look at the Notion side, BigPipe, from the same owner as O-mega, has a profile of Notion AI covering the writing, summarization and question answering it adds to the Notion workspace. Zapier/Make give you flexibility to plug AI into many apps. When choosing, compare how their pricing and features (credits vs seat vs tasks) match your needs.
Sources: Official Airtable documentation and announcements (support.airtable.com) (xray.tech) (o-mega.ai) (lindy.ai), as well as expert summaries of Airtable’s AI pricing. These confirm that Airtable’s Team and Business plans now include 15,000 and 20,000 AI credits per user each month, pooled and expiring monthly, and that extra credits are sold in packs starting at $20 (support.airtable.com), and that from mid-2025 there is no separate per-user AI fee (support.airtable.com). The cited sources also explain the values of credits for example tasks (xray.tech).