Airtable vs monday.com AI: pricing, features and which to choose

Airtable is a spreadsheet-like database platform made by Airtable, Inc., founded in 2012 and publicly launched in 2015. Its central idea is to let teams model work as linked records, then turn those records into applications, rather than forcing every process into a fixed project-management template. The company introduced an API and embeddable views in May 2015, giving each base a customized API for integrations. Airtable’s current plans include a free tier, Team at $20 per user monthly when billed annually, Business at $45, and Enterprise Scale with custom pricing. The free plan allows 1,000 records per base, 1,000 API calls per workspace monthly, 1 GB of attachment storage, and 500 AI credits per editor or higher each month. It is best understood as a database-first productivity tool, with forms, automations, interfaces, and AI layered around that foundation.

Airtable’s practical strength is turning structured data into a shared workflow. A team can start with a base, define tables and fields, then connect records through linked fields and present the same information in grid, calendar, timeline, Gantt, form, or interface views. Automations handle triggers and actions, while extensions and integrations connect outside services. A typical process might collect requests through a form, store each submission as a record, assign owners and deadlines, and use an automation to notify a channel or update a status. Omni adds a natural-language layer that can build apps, edit data, answer questions, and analyze records, with actions governed by existing permissions. The free plan allows 1,000 records per base and 1,000 API calls per workspace each month, while Team raises those limits to 50,000 records and 100,000 calls.

Airtable’s main limitation is scale by plan: Free bases cap at 1,000 records, 1,000 API calls monthly, 1 GB of attachments, and 500 AI credits per editor, while Team raises the record limit to 50,000 but costs $20 per user monthly annually. Its database-first design suits structured workflows better than Coda’s document-first approach, and it is less suited than Notion to wiki-style knowledge management. Smartsheet offers stronger spreadsheet-oriented project controls, while Airtable provides more flexible app building and permission-aware AI features. Costs rise through billable collaborators and metered AI credits, with Team including 15,000 credits per billable collaborator and extra packs starting at $20 for 10,000 credits. Airtable is best for teams building structured, customizable workflow apps around relational data.

monday.com AI is the AI layer inside monday.com, a work-management platform made by monday.com Ltd., founded in 2012 and listed on NASDAQ as MNDY. Its first AI Assistant announcement came in April 2023, with a beta planned for May, and the company described the product as an open platform for third-party AI applications. monday.com now reports more than 250,000 customers and about 3,200 employees. The product is aimed at teams that want AI alongside boards, workflows, CRM, development, or service work, rather than a standalone chatbot. Its current catalog includes AI blocks, Sidekick, AI Workflows, AI Notetaker, monday agents, and monday vibe. The platform also offers a Models API with OpenAI-compatible endpoints, provider routing, fallbacks, budgets, and spend tracking, while using models from Anthropic, OpenAI, Google, and Sentence Transformers.

monday.com AI combines work management with AI tools that act on boards, workflows and related business data. A typical workflow starts with a natural-language request: AI can generate tasks, draft or rephrase CRM emails, summarize text, build formulas, or run an agent against a configured process. Sidekick handles roughly 10 to 150 credits per message depending on complexity, while AI Notetaker uses 120 credits per meeting hour. Teams can also create AI workflows, specialized agents, custom apps through monday vibe, and monitor consumption through AI governance, with alerts at 80% and 100%. The platform’s Models API adds OpenAI-compatible chat, embeddings, image and audio endpoints, plus model fallbacks, spend tracking and budgets. It draws from Anthropic, OpenAI, Google and Sentence Transformers, while monday.com says customer inputs and outputs are not used for model training.

monday.com AI is less a standalone assistant than an AI layer inside monday.com’s broader work operating system, and that breadth is its main advantage and constraint. Unlike Asana AI Studio, which offers explicit Basic, Plus, and Pro credit tiers and lets users choose named partner models such as Claude Sonnet 4.5 and GPT-5.2, monday.com uses shared credit buckets across its AI work platform and does not permit customer-supplied models or API keys. Slack AI is stronger for conversation search, recaps, and Slackbot inside team communications, while monday.com reaches further into boards, workflows, CRM, development, and service work. Costs also rise quickly: paid plans start at $9 per seat monthly when billed annually, while AI credits begin at 1,000 for $10, and AI is unavailable to free accounts. Teams wanting configurable work management with integrated automation should pick monday.com AI.