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AI Tools · head to head

AI21 Labs vs AWS SageMaker

AI21 Labs logo

AI21 Labs

AI Tools

Enterprise language AI solutions

From
Free
Rated
-
Full reviewWebsite
AWS SageMaker logo

AWS SageMaker

Machine Learning & Data Science

Build, train, and deploy machine learning models at scale

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: AI21 Labs the free allowance is $10 of credit lasting 7 days rather than an ongoing free tier; AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult
  • They diverge on capability: AI21 Labs covers Jamba models, AWS SageMaker covers Jupyter notebooks.

Where they differ

Only the attributes on which AI21 Labs and AWS SageMaker actually diverge.

Attributes where AI21 Labs and AWS SageMaker differ
AttributeAI21 LabsAWS SageMaker
Pricing modelusage-basedUnknown
PlatformsApi, CloudWeb
CategoryAI ToolsMachine Learning & Data Science
Founded20172006

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

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 AI21 Labs

  • Jamba models
  • Long context
  • RAG engine
  • Writing tools
  • REST API
  • Amazon Bedrock
  • Cloud platforms
  • 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.

AI21 Labs

  • Running long-context tasks on the Jamba model familynot AWS SageMaker
  • Building and optimising production AI agents with Maestronot AWS SageMaker
  • Routing between models to control cost and accuracynot AWS SageMaker
  • Long-horizon agentic tasks needing stateful workspacesnot AWS SageMaker

AWS SageMaker

  • Machine learningnot AI21 Labs
  • Data analysisnot AI21 Labs
  • Model trainingnot AI21 Labs
  • Predictive analyticsnot AI21 Labs

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

AI21 Labs

  • The free allowance is $10 of credit lasting 7 days rather than an ongoing free tier
  • Jamba Large is $2 per million input tokens and $8 per million output, so output-heavy work costs four times as much as input
  • Volume discounts, private cloud hosting and higher rate limits require a custom plan
  • Standard rate limits are not published

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

AI21 Labs

Free
  • Free TrialFree
    • Limited usage
    • API access
  • Jamba$0.2/per-million-input-tokens
    • 256K context
    • Hybrid architecture

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

Which should you pick?

Choose AI21 Labs if

  • You need jamba models.
  • You want to start without paying.
  • You work on Api, Cloud.
  • You also want long context.
AI21 Labs review

Choose AWS SageMaker if

  • You need jupyter notebooks.
  • You want to start without paying.
  • You also want built-in algorithms.
AWS SageMaker review

Questions people ask

Is AI21 Labs or AWS SageMaker better?
Neither clearly leads. AI21 Labs starts at Free and AWS SageMaker at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AI21 Labs or AWS SageMaker?
AI21 Labs starts at Free and AWS SageMaker at Free.
Does AI21 Labs or AWS SageMaker run on more platforms?
AI21 Labs runs on Api, Cloud. AWS SageMaker runs on Web.
Can I use AI21 Labs for free?
Both have a free tier, so you can try either at no cost before committing.
What is AI21 Labs best used for?
AI21 Labs is most often used for running long-context tasks on the jamba model family, building and optimising production ai agents with maestro, routing between models to control cost and accuracy, long-horizon agentic tasks needing stateful workspaces. Of those, running long-context tasks on the jamba model family and building and optimising production ai agents with maestro are not what AWS SageMaker is typically brought in for.
What can AI21 Labs do that AWS SageMaker cannot?
AI21 Labs covers Jamba models, Long context, RAG engine, Writing tools. 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.

Source
AWS 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.

Source
AWS 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
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