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Software Development · head to head

Augment Code vs Google Vertex AI

Augment Code logo

Augment Code

Software Development

Agentic software development at organizational scale

From
$100/month
Rated
-
Google Vertex AI logo

Google Vertex AI

Machine Learning

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

From
On request
Rated
-

The short version

  • Each has a real cost: Augment Code enterprise requires custom pricing negotiation; Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult

Where they differ

Only the attributes on which Augment Code and Google Vertex AI actually diverge.

Attributes where Augment Code and Google Vertex AI differ
AttributeAugment CodeGoogle Vertex AI
Starting price$100/monthOn request
Pricing modelsubscriptionUnknown
PlatformsWebCloud, Web
CategorySoftware DevelopmentMachine Learning
FoundedUnknown2008

Identical on both: free tier (No), 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 Augment Code

Nothing recorded that Google Vertex AI does not also cover.

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.

Augment Code

  • AI-powered code completionnot Google Vertex AI
  • Development tool integrationnot Google Vertex AI
  • Enterprise software developmentnot Google Vertex AI

Google Vertex AI

  • Machine learningnot Augment Code
  • Data analysisnot Augment Code
  • Model trainingnot Augment Code
  • Predictive analyticsnot Augment Code

Where each one falls short

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

Augment Code

  • Enterprise requires custom pricing negotiation
  • Usage allowance only covers $100/month; overages charge 40% service fee on provider rates

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

Augment Code

$100/month
  • Business$100/month
    • Up to 50 seats
    • $100 monthly usage allowance
    • Cosmos access
  • Enterprise$null/month
    • Custom pricing
    • Custom user pricing and usage limits
    • Unlimited concurrent sessions

Google Vertex AI

On request

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

Which should you pick?

Choose Augment Code if

Nothing in the data separates Augment Code from Google Vertex AI on the points above - pick on price and on how each one feels to use.

Choose Google Vertex AI if

  • You need automl.
  • You work on Cloud, Web.
  • You also want custom training.

Questions people ask

Is Augment Code or Google Vertex AI better?
Neither clearly leads. Augment Code starts at $100/month 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, Augment Code or Google Vertex AI?
Augment Code starts at $100/month and Google Vertex AI at On request.
Does Augment Code or Google Vertex AI run on more platforms?
Augment Code runs on Web. Google Vertex AI runs on Cloud, Web.
What is Augment Code best used for?
Augment Code is most often used for ai-powered code completion, development tool integration, enterprise software development. Of those, ai-powered code completion and development tool integration are not what Google Vertex AI is typically brought in for.
What can Augment Code do that Google Vertex AI cannot?
Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring.

Answered from the vendors’ own pages

Augment Code: How much does Augment Code Business plan cost?

Augment Code Business plan is $100 per month with no per-seat charges, includes up to 50 seats, and provides $100 in monthly usage allowance pooled across the team.

Source
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
Augment Code: How does Augment Code usage billing work?

The Business plan includes $100 monthly usage measured in dollars across LLM inference (billed at provider rates plus 40% service fee) and compute time. Usage is pooled across the entire team. Top-ups expire 12 months after purchase.

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
Augment Code: What does Augment Code Enterprise include?

Enterprise plan includes all Business features plus custom user pricing, bespoke usage limits, volume-based annual discounts, unlimited concurrent sessions, multi-region compute, custom compute size, SSO/OIDC/SCIM support, and CMEK and ISO 42001 compliance.

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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