AWS Free Tier for AI: What You Can Build for $0
Published on February 26, 2026
A startup burned $340 in a single weekend because a developer left a SageMaker training job running on the "free" tier.
Most developers think the AWS Free Tier is for spinning up a t2.micro EC2 instance and calling it a day. They are wrong — and that mistake is costing them weeks of build time they could have spent shipping real AI products for $0. AWS quietly packs 9 AI-capable services into its Free Tier.
Impact: We have helped teams build production-ready AI prototypes — chatbots, document analyzers, image classifiers — without spending a single dollar on cloud compute.
The ceiling is higher than you think. But so is the drop if you get the rules wrong. Here is the breakdown nobody gives you — the real limits, the traps, and the exact stack you can ship today at $0 on AWS.
The Free Tier Has Three Modes (And Most People Only Know One)
Before we get into what you can build, you need to know how the Free Tier actually works — because if you get this wrong, you will get a bill you did not expect.
Always Free
No expiry. Limits reset every month forever.
Examples: AWS Lambda (1M requests/month), DynamoDB (25 GB storage), Amazon Polly (100K chars/month).
12-Month Free
Tied to your account creation date. Miss the anniversary and you are paying full rate.
Applies to: Rekognition, Lex, Transcribe, Comprehend, SageMaker notebooks.
Free Plan (Post July 15, 2025)
$100 in credits at sign-up, up to $100 more by completing five onboarding tasks.
Catch: Valid for 6 months only. Then full pricing kicks in.
AWS does not stop you when you exceed limits. It bills you. We have seen startups blow $340 in a single weekend because a developer left a SageMaker training job running. Set a $0 budget alert in AWS Billing the moment you create your account. Not when you remember. Now.
The 6 AI Services Worth Your Time on Free Tier
1. Amazon Rekognition — 1,000 Images/Month Free
This is the fastest way to ship an image AI product without writing a single line of model training code. The Free Tier covers 1,000 image analyses per month for 12 months — covering object detection, facial analysis, label detection, and content moderation. You also get 1,000 face vector objects stored for free per month.
What You Can Realistically Build
Use case: A retail product photo moderator that flags blurry, low-quality, or policy-violating images before they go live on your Shopify store. At roughly 3 seconds per API call and 1,000 free calls, you can process an entire 800-product catalog in one sitting — at $0.
Braincuber used Rekognition Free Tier to prototype custom label detection for a UAE-based e-commerce client
They validated the entire use case in 11 days without a dollar spent on compute.
(Custom Labels free tier adds 2 training hours and 1 inference hour per month — enough to train a narrow product classifier if your dataset is tight.)
2. Amazon Comprehend — 5 Million Characters/Month Free
50,000 units of text per API per month. One unit = 100 characters. That translates to 5,000,000 characters — roughly 3,500 full-length blog posts or 25,000 customer support tickets analyzed for sentiment, entity extraction, key phrases, PII detection, and language identification. Every single month. Free for 12 months.
What You Can Realistically Build
Use case: A customer review intelligence dashboard. Pull 5,000 reviews from your e-commerce platform, run them through Comprehend’s Sentiment API and Entity Recognition, and surface the top 10 recurring complaints in under 4 minutes.
We built this exact pipeline for a D2C skincare brand
They discovered that 37% of negative reviews mentioned "delayed shipping" as a phrase, not product quality. That single data point redirected their ops budget.
The Detail People Miss
The free tier applies per API. You get 50K units for Sentiment Analysis AND 50K units for Entity Recognition AND 50K units for Key Phrase Extraction.
That is not 50K shared — it is 50K each.
3. Amazon Lex — 10,000 Text Requests + 5,000 Speech Requests/Month
Most chatbot builders blow $300–$800/month on third-party platforms like Intercom AI or Drift before validating whether users even want to talk to a bot. Lex gives you 12 months to validate that hypothesis for free. The Free Tier includes 10,000 text requests and 5,000 speech requests per month — enough to handle a small-to-mid-size support operation or build a fully functional internal HR bot.
What You Can Realistically Build
Use case: An FAQ chatbot for a SaaS product that handles onboarding questions. If your average user asks 4 questions during onboarding, you can support 2,500 users/month through the entire free tier window — at $0.
Pair it with AWS Lambda (Always Free, 1M requests/month) as the backend logic layer
Full serverless AI assistant running for nothing.
4. Amazon Transcribe — 60 Minutes/Month Free
Look, 60 minutes is not a production limit. We will be straight with you. But it is enough to build a voice-to-text prototype for a meeting notes app, test a call center transcript parser before committing to a vendor, or validate an audio accessibility feature for a product sprint.
The 60 minutes resets monthly for 12 months from your first transcription request. After that, you are paying $0.024/minute — so a 1,000-minute/month workload costs you $24. That is the real number to plan around.
Insider Tip Most Tutorials Skip
Watch out: Transcribe’s free tier counts batch AND streaming usage against the same 60-minute pool. If you are testing a live-streaming feature AND a batch transcript job in the same month, they share the limit.
5. Amazon Polly — 100,000 Characters/Month Free
Polly is the text-to-speech service, and its Always Free tier gives you 100,000 characters per month for standard voices — forever, not just 12 months.
What You Can Realistically Build
Use case: An accessibility layer on top of any web app — audio versions of product descriptions, help docs, or onboarding walkthroughs. At roughly 500 characters per paragraph, that is 200 full paragraphs voiced every single month.
A customer asked us why they were paying $180/month for a third-party TTS vendor
Three hours later, they were on Polly’s Free Tier.
6. Amazon SageMaker — 250 Hours of Notebook Free (First 2 Months)
This one is the most time-limited and the easiest to misuse. SageMaker’s Free Tier covers 250 hours of ml.t3.medium notebook instances per month for the first 2 months of your account — plus free SageMaker Catalog usage (20 MB metadata storage, 4,000 API requests, 0.2 compute units).
What You Can Realistically Build in 2 Months
Scope: A full supervised ML pipeline — data preprocessing, model training, evaluation, and deployment to a SageMaker endpoint. We have seen teams go from raw CSV to a working churn prediction model in under 6 weeks using nothing but Free Tier notebooks.
The key is shutting the notebook instance down when not in use
Leave it running overnight twice and you have burned through 16 hours of your monthly budget by Tuesday morning.
The SageMaker Discipline Problem
SageMaker is the one Free Tier service where discipline is the difference between $0 and a $180 bill. The ml.t3.medium instance costs $0.046/hour when paid.
A notebook left running for 96 hours over a weekend costs $4.42 — not catastrophic, but it is not $0 either.
The Actual $0 AI Stack You Can Ship Right Now
Here is the architecture we would recommend for a first-time AWS AI builder who wants a real, functional product:
| Layer | Service | Free Limit | What It Does |
|---|---|---|---|
| NLP / Text Intelligence | Amazon Comprehend | 5M chars/month per API | Sentiment, entities, PII detection |
| Chatbot Interface | Amazon Lex | 10K text + 5K voice/month | Conversational AI front-end |
| Image Analysis | Amazon Rekognition | 1,000 images/month | Visual content moderation, labels |
| Backend Logic | AWS Lambda | 1M requests/month (Always Free) | Glue code between services |
| Database | Amazon DynamoDB | 25 GB storage (Always Free) | Store conversation history, results |
| Voice Output | Amazon Polly | 100K chars/month | TTS responses in your bot |
| Storage | Amazon S3 | 5 GB / 12 months | Store images and audio files |
This Stack = Fully Functional AI Support Bot at $0/Month
The Stack
Lex + Comprehend + Lambda + DynamoDB + Polly = AI customer support bot with NLP-powered intent detection, sentiment analysis, and voice response.
What It Replaces
We have deployed this stack for early-stage founders who burned $2,000/month on Intercom before realizing they could own the entire AI layer on AWS.
Monthly Cost
$0. Not "$0 with asterisks." Zero dollars. Every month. Within the free tier limits.
Where People Get Burned (Real Numbers)
The three most common mistakes we see on AWS Free Tier AI projects:
Leaving SageMaker notebooks running. A ml.t3.medium instance costs $0.046/hour. Leave it running 24/7 for a month = $33.12. That is not covered by the Free Tier after month 2.
Testing across multiple AWS regions. Free Tier limits are per account, not per region. If you run Comprehend tests in us-east-1 AND ap-south-1, they share the same 50K unit cap. We have watched developers blow through a month’s Comprehend free tier in 3 days because they were running parallel notebooks in 2 regions.
Forgetting the 12-month cliff. On day 366, standard pricing kicks in automatically — no warning email, no grace period (beyond the 85% threshold alert). A team running 30,000 Rekognition image analyses/month discovers on month 13 that their $0/month line item just became $7.50/month — fine at small scale, but multiply that across 6 services and you are looking at $60–$120 in surprise charges.
Set an AWS Budget alert at $0.01. Seriously. The moment AWS charges you anything, you want an email. Not a surprise bill at month-end.
When the Free Tier Is Not Enough
Here is our controversial take: the AWS Free Tier is not a launch platform. It is a validation platform.
If you are building a production AI product serving more than 2,000 active users, you will hit the limits of Lex, Transcribe, and Rekognition in the first 3 weeks. That is not a failure — that is a signal that your product has real demand, and it is time to move to pay-as-you-go.
The Real Cost After Free Tier
Example: A Lex chatbot handling 100,000 text requests/month costs roughly $75 after the free tier ends — still cheaper than building and maintaining your own NLP stack or paying $500/month for a third-party SaaS chatbot.
The Free Tier is how teams de-risk the build
Paid is how they scale it.
We work with D2C brands and SaaS teams who scaled from Free Tier experiments to full AWS AI production deployments on Bedrock and SageMaker.
Stop Paying $2,000/Month for What AWS Gives You Free
Book a free 15-Minute AWS Architecture Review with Braincuber — we will map your workload to the right AWS services and tell you exactly what your bill will look like at 10x scale.
Frequently Asked Questions
Does AWS Free Tier cover Amazon Bedrock?
For accounts created after July 15, 2025, AWS provides $100 in sign-up credits plus up to $100 more in credits earned through onboarding activities, for a total of $200 valid for 6 months. There is no traditional always-free or 12-month free tier for Bedrock — you burn credits, then pay. Budget accordingly before building anything Bedrock-dependent.
Can I use multiple AI services simultaneously without exceeding the Free Tier?
Yes — each service has its own separate free limit. Running Comprehend, Lex, Rekognition, and Polly simultaneously does not pool their quotas. The risk is forgetting that shared infrastructure (Lambda, S3, DynamoDB) has its own caps, and those ARE shared across every service using them.
What happens when I exceed the AWS Free Tier limit mid-month?
AWS charges you standard pay-as-you-go rates for every unit above the free limit — immediately, with no grace period and no automatic shutdown. The default 85% usage alert email is your only safety net unless you set up a $0 AWS Budget manually. Do that before your first API call.
Is the AWS Free Tier available to existing AWS customers or only new accounts?
Amazon Comprehend’s free tier is available to both new and existing AWS customers for 12 months from their first Comprehend request. Most other AI service free tiers (Rekognition, Lex, Transcribe, Polly) are tied to account creation date, meaning existing customers may already be past their 12-month window.
Can I build a production app on AWS Free Tier alone?
For very low-traffic MVPs — under ~1,000 users/month — yes. Lambda (1M requests), DynamoDB (25 GB), and Polly (100K characters) are Always Free, meaning they have no expiry. For anything beyond early validation, expect to graduate to paid tiers within 60–90 days of launch. Plan your cost model before you hit that wall, not after.