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AI · head to head

Replicate vs Terra

Replicate logo

Replicate

AI

Run AI models in the cloud

From
Free
Rated
-
Terra logo

Terra

Research

Open biomedical research platform for genomic analysis, priced only by the cloud you consume

From
Free
Rated
-

The short version

  • Each has a real cost: Replicate private model deployments are billed for all the time instances are online, including setup and idle time, not only for processing; Terra the absence of a licence fee hides the real cost driver: an idle notebook virtual machine left running overnight, or a workspace bucket full of intermediate workflow outputs, quietly consumes grant money with no vendor invoice to prompt a review.
  • They diverge on capability: Replicate covers Model hosting, Terra covers No platform licence fee.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Replicate and Terra actually diverge.

Attributes where Replicate and Terra differ
AttributeReplicateTerra
Pricing modelusage-basedOpen source, no licence fee
PlatformsApi, CloudWeb, Google Cloud, Microsoft Azure
CategoryAIResearch
Founded2019Unknown

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 Replicate

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

Only in Terra

  • No platform licence fee
  • Cloud pass-through billing
  • WDL workflow execution
  • Notebook environments
  • Controlled-access data
  • Workspace sharing
  • Compliance posture
  • Multi-cloud

What people use each for

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

Replicate

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

Terra

  • A genomics lab running whole-genome alignment and variant calling pipelines without provisioning or maintaining a local clusternot Replicate
  • A consortium sharing controlled-access human data across institutions where the data cannot be copied to each sitenot Replicate
  • A health system analysing patient genomic data under a HIPAA business associate agreementnot Replicate
  • A federal or federally funded project needing FedRAMP Moderate authorisation for its analysis environmentnot Replicate

Where each one falls short

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

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

Terra

  • The absence of a licence fee hides the real cost driver: an idle notebook virtual machine left running overnight, or a workspace bucket full of intermediate workflow outputs, quietly consumes grant money with no vendor invoice to prompt a review.
  • Cost governance is entirely the customer responsibility, and grant-funded groups without a cloud engineer routinely overspend before anyone reads the Google or Azure bill in enough detail to find the cause.
  • It assumes genuine bioinformatics competence: writing or adapting WDL workflows, managing data tables and debugging failed tasks are all on you, so a wet lab without computational staff cannot use it productively.
  • Feature parity between the Google Cloud and Azure deployments is not identical, so a decision on cloud provider constrains which capabilities and datasets you can reach and is expensive to reverse later.
  • It is a research platform rather than a regulated clinical system: it is not a validated GxP environment and does not carry the qualification package a diagnostic or submission workflow would require, so clinical use needs additional infrastructure and validation you provide yourself.

Pricing, plan by plan

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

Terra

Free
  • Terra platformFree
    • No charge for the platform, administration, security controls or frontline support
    • Workspaces, workflow execution and notebook environments included
    • Available on Google Cloud and Microsoft Azure
  • Cloud consumption$undefined/month
    • Google Cloud or Azure charges passed through at cost with no markup
    • Running notebook virtual machines around 0.22 USD per hour, roughly 0.027 USD per hour when paused
    • Storage billed continuously on workspace buckets and intermediate workflow outputs

Which should you pick?

Choose Replicate if

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

Choose Terra if

  • You need no platform licence fee.
  • You want to start without paying.
  • You work on Web, Google Cloud, Microsoft Azure.
  • You also want cloud pass-through billing.

Questions people ask

Is Replicate or Terra better?
Neither clearly leads. Replicate starts at Free and Terra at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Replicate or Terra?
Replicate starts at Free and Terra at Free.
Does Replicate or Terra run on more platforms?
Replicate runs on Api, Cloud. Terra runs on Web, Google Cloud, Microsoft Azure.
Can I use Replicate for free?
Both have a free tier, so you can try either at no cost before committing.
What is Replicate best used for?
Replicate is most often used for running open source machine learning models through a hosted api without managing gpus, deploying and serving a custom or fine tuned model on rented gpu hardware, per second billed batch image, video and language model inference. Of those, running open source machine learning models through a hosted api without managing gpus and deploying and serving a custom or fine tuned model on rented gpu hardware are not what Terra is typically brought in for.
What can Replicate do that Terra cannot?
Replicate covers Model hosting, Simple API, Auto-scaling, Custom models. Terra covers No platform licence fee, Cloud pass-through billing, WDL workflow execution, Notebook environments.

Answered from the vendors’ own pages

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
Terra: Is Terra really free?

The platform is. There is no licence fee. Everything you pay is Google Cloud or Azure compute, storage and egress, passed through at cost.

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
Terra: What actually drives the bill?

Running virtual machines and stored data. Pausing notebooks drops a virtual machine from about 0.22 to about 0.027 dollars an hour, and deleting intermediate workflow outputs is the other main saving.

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
Terra: Can I use it with protected health information?

Yes. Terra signs HIPAA business associate agreements and GDPR data processing agreements, and the Azure deployment holds FedRAMP Moderate authorisation.

Terra: Is it validated for clinical or GxP use?

No. It is a research platform. Regulated clinical or submission workflows need validation and controls you build yourself.

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