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Machine Learning · head to head

Google Vertex AI vs Replicate

Google Vertex AI logo

Google Vertex AI

Machine Learning

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

From
On request
Rated
-
Full reviewWebsite
Replicate logo

Replicate

AI

Run AI models in the cloud

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Replicate has a free tier, so it costs nothing to try first.
  • Each has a real cost: Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult; Replicate private model deployments are billed for all the time instances are online, including setup and idle time, not only for processing
  • They diverge on capability: Google Vertex AI covers AutoML, Replicate covers Model hosting.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where Google Vertex AI and Replicate differ
AttributeGoogle Vertex AIReplicate
Starting priceOn requestFree
Pricing modelUnknownusage-based
Free tierNoYes
PlatformsCloud, WebApi, Cloud
CategoryMachine LearningAI
Founded20082019

Identical on both: 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 Google Vertex AI

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

Only in Replicate

  • Model hosting
  • Simple API
  • Auto-scaling
  • Custom models
  • REST API
  • Python client
  • JavaScript client
  • Api support

What people use each for

The jobs each tool is most often brought in to do.

Google Vertex AI

  • Machine learningnot Replicate
  • Data analysisnot Replicate
  • Model trainingnot Replicate
  • Predictive analyticsnot Replicate

Replicate

  • Running open source machine learning models through a hosted API without managing GPUsnot Google Vertex AI
  • Deploying and serving a custom or fine tuned model on rented GPU hardwarenot Google Vertex AI
  • Per second billed batch image, video and language model inferencenot Google Vertex AI

Where each one falls short

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

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

Replicate

  • Private model deployments are billed for all the time instances are online, including setup and idle time, not only for processing
  • Multi-GPU A100, H100, H200 and L40S capacity beyond the listed configurations is only available with a committed spend contract
  • The pricing page publishes no free tier allowance

Pricing, plan by plan

Google Vertex AI

On request

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

Replicate

Free
  • Pay-as-you-go$null/usage
    • Billed by execution time for public models
    • CPU Small: $0.000025/second ($0.09/hour)
    • 8x Nvidia A100 GPUs: $0.0112/second ($40.32/hour)
  • Enterprise$null/custom
    • Dedicated account manager
    • Priority support
    • Higher GPU limits

Which should you pick?

Choose Google Vertex AI if

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

Choose Replicate if

  • You need model hosting.
  • You want to start without paying.
  • You work on Api, Cloud.
  • You also want simple api.
Replicate review

Questions people ask

Is Google Vertex AI or Replicate better?
Neither clearly leads. Google Vertex AI starts at On request and Replicate at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Google Vertex AI or Replicate?
Replicate has a free tier; the other does not. Paid plans start at On request for Google Vertex AI and Free for Replicate.
Does Google Vertex AI or Replicate run on more platforms?
Google Vertex AI runs on Cloud, Web. Replicate runs on Api, Cloud.
Can I use Replicate for free?
Yes. Replicate has a free tier, so you can try it without paying. Google Vertex AI starts at On request.
What is Google Vertex AI best used for?
Google Vertex AI is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Replicate is typically brought in for.
What can Google Vertex AI do that Replicate cannot?
Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring. Replicate covers Model hosting, Simple API, Auto-scaling, Custom models.

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
Replicate: How much does Replicate cost?

Replicate uses pay-as-you-go pricing based on model execution time and compute type. Costs range from $0.09/hour for CPU (Small) to $40.32/hour for 8x Nvidia A100 GPUs. Some models charge per input/output tokens instead of time.

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
Replicate: Does Replicate offer a free tier?

Yes, Replicate is free to start with pay-as-you-go pricing. There are no subscription tiers or minimum commitments; you pay only for what you use.

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
Replicate: What is the difference between public and private models?

Public models are billed by execution time. Private models are billed for all instance uptime including setup, idle, and active processing time, except for fast-booting fine-tunes which are billed only during active processing.

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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