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 (with the standard 500 credits each).
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 has the AI credit allotment.
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. 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/Enterprise seats each have a set credit allowance for AI.
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 500 free AI credits (xray.tech). 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). So a 5-person team on a $45 plan gets 2,500 free credits total each month (500×5), enough for 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). (Pricing for these packs is not publicly listed, so you’d check with Airtable.) In other words, heavy AI use means buying more credits.
Examples:
A 5-user Team paying $100/month (5×$20) gets 2,500 AI credits. If they use each credit to generate a 750-word article (~15 credits each), they could auto-generate ~166 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.).
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 500 free credits to your pool each month (xray.tech). However, using those credits is what matters: if your team never exceeds 500 credits each, 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 gets 500 additional credits. 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 500 credits/user/month often suffice. 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). 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). 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. Plans are enterprise-scale: the Basic plan is about $5,000/month and Pro is $9,000/month (o-mega.ai). (It’s priced much higher than Airtable, so it’s aimed at big companies.)
Relevance AI: A low-code AI-agent builder. Its Team tier is $199/month (for up to 10 seats and 100K credits per month) and Business is $599/month for more users/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 (e.g. Notion AI is ~$8–$15/user/mo) and usage is capped by words/queries rather than credits. They don’t have “agents” per se, but they let you 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. 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/Business plans include 500 free AI credits per user and that extra credits must be purchased (xray.tech), 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).