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Machine Learning · head to head

BigQuery ML vs Grok

BigQuery ML logo

BigQuery ML

Machine Learning

Machine learning in BigQuery using SQL

From
Free
Free plan
Yes
Full reviewWebsite
Grok logo

Grok

AI

Conversational AI assistant from xAI with multimodal capabilities and local model support

From
On request
Free plan
No
Full reviewWebsite

The short version

  • Only BigQuery ML has a free tier, so it costs nothing to try first.
  • Each has a real cost: BigQuery ML not available in BigQuery's Standard edition, so the cheapest tier cannot use it; Grok pricing is not published; all access requires sales contact or account negotiation
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which BigQuery ML and Grok actually diverge.

Attributes where BigQuery ML and Grok differ
AttributeBigQuery MLGrok
Starting priceFreeOn request
Pricing modelusage-basedquote
Free tierYesNo
PlatformsWebWeb, X integration, API (Python SDK)
CategoryMachine LearningAI
Founded2008Unknown

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 BigQuery ML

  • SQL-based ML
  • AutoML Tables
  • Model export
  • Prediction functions
  • Feature preprocessing
  • BigQuery
  • Vertex AI
  • TensorFlow

Only in Grok

Nothing recorded that BigQuery ML does not also cover.

What people use each for

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

BigQuery ML

  • Training models in SQL without exporting datanot Grok
  • Linear and logistic regression on warehouse datanot Grok
  • K-means clustering and matrix factorisation for recommendationsnot Grok
  • Time series forecasting with ARIMA_PLUSnot Grok
  • Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot Grok

Grok

  • Social media context-aware conversational AI via X integrationnot BigQuery ML
  • Image and video understanding through APInot BigQuery ML
  • Reasoning tasks with configurable compute budgetsnot BigQuery ML
  • Autonomous tool use and web search integrationnot BigQuery ML
  • Open-weight model deployment of Grok-1 architecturenot BigQuery ML

Where each one falls short

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

BigQuery ML

  • Not available in BigQuery's Standard edition, so the cheapest tier cannot use it
  • Billed through BigQuery compute and storage rather than as its own product, so training cost tracks data scanned
  • Remote models incur extra Agent Platform charges on top
  • Externally trained model types such as boosted trees and AutoML run through Agent Platform rather than inside BigQuery

Grok

  • Pricing is not published; all access requires sales contact or account negotiation
  • Limited ecosystem compared to OpenAI and Anthropic; fewer third-party integrations
  • Organisational reputation tied to Elon Musk; policy or direction changes may affect service continuity

Pricing, plan by plan

BigQuery ML

Free
  • Free TierFree
    • 10GB storage
    • 1TB queries
  • On-Demand$5/TB
    • Pay per TB scanned
    • ML training costs

Grok

On request

No published plan breakdown. See the Grok review.

Which should you pick?

Choose BigQuery ML if

  • You need sql-based ml.
  • You want to start without paying.
  • You also want automl tables.
BigQuery ML review

Choose Grok if

  • You work on Web, X integration, API (Python SDK).
Grok review

Questions people ask

Is BigQuery ML or Grok better?
Neither clearly leads. BigQuery ML starts at Free and Grok at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery ML or Grok?
BigQuery ML has a free tier; the other does not. Paid plans start at Free for BigQuery ML and On request for Grok.
Does BigQuery ML or Grok run on more platforms?
BigQuery ML runs on Web. Grok runs on Web, X integration, API (Python SDK).
Can I use BigQuery ML for free?
Yes. BigQuery ML has a free tier, so you can try it without paying. Grok starts at On request.
What is BigQuery ML best used for?
BigQuery ML is most often used for training models in sql without exporting data, linear and logistic regression on warehouse data, k-means clustering and matrix factorisation for recommendations, time series forecasting with arima_plus. Of those, training models in sql without exporting data and linear and logistic regression on warehouse data are not what Grok is typically brought in for.
What can BigQuery ML do that Grok cannot?
BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions.

Answered from the vendors’ own pages

BigQuery ML: How much does Google Cloud BigQuery ML cost?

BigQuery ML pricing is not specified separately on Google Cloud's pricing page. It follows the same pay-as-you-go model as BigQuery, charging per terabyte of data scanned during analysis. Customers receive $300 in free credits and can use 20+ products free up to monthly limits.

Source
BigQuery ML: Does Google Cloud offer a free trial?

Yes, new customers get $300 in free credits and all customers can use 20+ Google Cloud products free up to their monthly usage limits.

Source
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