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AI21 Labs vs Google Vertex AI

AI21 Labs logo

AI21 Labs

Software

Enterprise language AI solutions

From
Free
Rated
-
Full reviewWebsite
Google Vertex AI logo

Google Vertex AI

Software

Unified ML platform to build, deploy, and scale AI models

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only AI21 Labs has a free tier, so it costs nothing to try first.
  • Each has a real cost: AI21 Labs the free allowance is $10 of credit lasting 7 days rather than an ongoing free tier; Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
  • They diverge on capability: AI21 Labs covers Jamba models, Google Vertex AI covers AutoML.

Where they differ

Only the attributes on which AI21 Labs and Google Vertex AI actually diverge.

Attributes where AI21 Labs and Google Vertex AI differ
AttributeAI21 LabsGoogle Vertex AI
Starting priceFreeOn request
Pricing modelusage-basedUnknown
Free tierYesNo
PlatformsApi, CloudCloud, Web
Founded20172008

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 AI21 Labs

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

Only in Google Vertex AI

  • AutoML
  • Custom training
  • Feature Store
  • Model monitoring
  • Prediction serving
  • BigQuery
  • Cloud Storage
  • TensorFlow

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 Google Vertex AI
  • Building and optimising production AI agents with Maestronot Google Vertex AI
  • Routing between models to control cost and accuracynot Google Vertex AI
  • Long-horizon agentic tasks needing stateful workspacesnot Google Vertex AI

Google Vertex AI

  • 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

Google Vertex AI

  • Vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
  • Requires familiarity with Google Cloud Platform infrastructure and concepts
  • Cost can escalate quickly with large training and inference workloads

Pricing, plan by plan

AI21 Labs

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

Google Vertex AI

On request

No published plan breakdown. See the Google Vertex AI 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 Google Vertex AI if

  • You need automl.
  • You work on Cloud, Web.
  • You also want custom training.
Google Vertex AI review

Questions people ask

Is AI21 Labs or Google Vertex AI better?
Neither clearly leads. AI21 Labs starts at Free and Google Vertex AI at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AI21 Labs or Google Vertex AI?
AI21 Labs has a free tier; the other does not. Paid plans start at Free for AI21 Labs and On request for Google Vertex AI.
Does AI21 Labs or Google Vertex AI run on more platforms?
AI21 Labs runs on Api, Cloud. Google Vertex AI runs on Cloud, Web.
Can I use AI21 Labs for free?
Yes. AI21 Labs has a free tier, so you can try it without paying. Google Vertex AI starts at On request.
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 Google Vertex AI is typically brought in for.
What can AI21 Labs do that Google Vertex AI cannot?
AI21 Labs covers Jamba models, Long context, RAG engine, Writing tools. Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring.

Answered from the vendors’ own pages

Google Vertex AI: What is the pricing model for Google Vertex AI?

Vertex AI uses a pay-as-you-go model with no upfront costs or lock-in fees. Costs vary by service: training is billed by compute resources and time (30-second increments), online predictions by machine type per hour, and batch predictions by compute time or per-record for specific AutoML types.

Source
Google Vertex AI: What types of data can Vertex AI handle?

Vertex AI supports image, video, text, and tabular data types with tools for uploading, storing, and managing large datasets.

Source
Google Vertex AI: Does Vertex AI support custom model training?

Yes. Vertex AI supports both AutoML for automated machine learning and custom training code in Python, R, and other languages.

Source
Google Vertex AI: What deployment options are available in Vertex AI?

Vertex AI supports online predictions for real-time use cases and batch predictions for large-scale processing.

Source
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