Software · head to head
OpenAI API vs AWS SageMaker
OpenAI API
Software
GPT and DALL-E APIs for developers
- From
- $0.15/per-million-tokens
- Rated
- -
AWS SageMaker
Software
Build, train, and deploy machine learning models at scale
- From
- Free
- Rated
- -
The short version
- Only AWS SageMaker has a free tier, so it costs nothing to try first.
- Each has a real cost: OpenAI API new accounts start with a $100 approved monthly usage limit and must spend cumulatively to graduate tiers; AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult
- They diverge on capability: OpenAI API covers GPT models, AWS SageMaker covers Jupyter notebooks.
Where they differ
Only the attributes on which OpenAI API and AWS SageMaker actually diverge.
| Attribute | OpenAI API | AWS SageMaker |
|---|---|---|
| Starting price | $0.15/per-million-tokens | Free |
| Pricing model | usage-based | Unknown |
| Free tier | No | Yes |
| Platforms | Api | Web |
| Founded | 2015 | 2006 |
Identical on both: user rating (Not yet rated), category (Unknown).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in OpenAI API
- GPT models
- DALL-E
- Whisper
- Embeddings
- REST API
- SDKs
- Azure OpenAI
- Api support
Only in AWS SageMaker
- Jupyter notebooks
- Built-in algorithms
- Automatic model tuning
- One-click deployment
- Model monitoring
- S3
- Lambda
- Step Functions
What people use each for
The jobs each tool is most often brought in to do.
OpenAI API
- Calling hosted language models from an applicationnot AWS SageMaker
- Generating images, audio and embeddings through one APInot AWS SageMaker
- Building agents and tool calling workflows on managed modelsnot AWS SageMaker
AWS SageMaker
- Machine learningnot OpenAI API
- Data analysisnot OpenAI API
- Model trainingnot OpenAI API
- Predictive analyticsnot OpenAI API
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
OpenAI API
- New accounts start with a $100 approved monthly usage limit and must spend cumulatively to graduate tiers
- Reaching the top Tier 5 monthly cap of $200,000 requires $1,000 of cumulative paid usage
- Rate limits apply simultaneously across requests per minute, requests per day, tokens per minute, tokens per day and images per minute, and the first one hit blocks the request
- API access is restricted to approved geographies
AWS SageMaker
- Vendor lock-in to AWS ecosystem makes migration to other platforms difficult
- Opaque pricing can lead to unexpected expenses like forgotten EBS volume charges
- Does not include native job scheduling, requiring Lambda or EventBridge integration
Pricing, plan by plan
OpenAI API
$0.15/per-million-tokens- GPT-4o mini$0.15/per-million-input-tokens
- Fast
- Affordable
- GPT-4o$5/per-million-input-tokens
- Multimodal
- 128K context
AWS SageMaker
FreeNo published plan breakdown. See the AWS SageMaker review.
Which should you pick?
Choose AWS SageMaker if
- You need jupyter notebooks.
- You want to start without paying.
- You also want built-in algorithms.
Questions people ask
- Is OpenAI API or AWS SageMaker better?
- Neither clearly leads. OpenAI API starts at $0.15/per-million-tokens and AWS SageMaker at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, OpenAI API or AWS SageMaker?
- AWS SageMaker has a free tier; the other does not. Paid plans start at $0.15/per-million-tokens for OpenAI API and Free for AWS SageMaker.
- Does OpenAI API or AWS SageMaker run on more platforms?
- OpenAI API runs on Api. AWS SageMaker runs on Web.
- Can I use AWS SageMaker for free?
- Yes. AWS SageMaker has a free tier, so you can try it without paying. OpenAI API starts at $0.15/per-million-tokens.
- What is OpenAI API best used for?
- OpenAI API is most often used for calling hosted language models from an application, generating images, audio and embeddings through one api, building agents and tool calling workflows on managed models. Of those, calling hosted language models from an application and generating images, audio and embeddings through one api are not what AWS SageMaker is typically brought in for.
- What can OpenAI API do that AWS SageMaker cannot?
- OpenAI API covers GPT models, DALL-E, Whisper, Embeddings. AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment.
Answered from the vendors’ own pages
AWS SageMaker: What is AWS SageMaker used for?
AWS SageMaker is a machine learning service for building, training, and deploying ML models at scale. It provides tools for data preparation, model training, inference endpoints, and performance optimization.
SourceAWS SageMaker: How is AWS SageMaker priced?
SageMaker uses pay-as-you-go pricing with no upfront costs or long-term commitments. Pricing starts at $0.04 per hour for basic notebook instances and scales based on instance type. ML Savings Plans offer up to 64% off with hourly spend commitments.
SourceAWS SageMaker: Does AWS SageMaker have a free tier?
Yes, the free tier includes 250 hours of notebook usage, 50 hours of training, and 125 hours of hosting on ml.t3.medium instances during the first two months.
Source