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Machine Learning · head to head

BigQuery ML vs DeepSeek

BigQuery ML logo

BigQuery ML

Machine Learning

Machine learning in BigQuery using SQL

From
Free
Free plan
Yes
Full reviewWebsite
DeepSeek logo

DeepSeek

AI

Chinese AI lab offering reasoning models via web and API

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Each has a real cost: BigQuery ML not available in BigQuery's Standard edition, so the cheapest tier cannot use it; DeepSeek specific pricing details not published on homepage; API pricing page referenced but content not available
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where BigQuery ML and DeepSeek differ
AttributeBigQuery MLDeepSeek
Pricing modelusage-basedfreemium
PlatformsWebWeb, iOS, Android, API
CategoryMachine LearningAI
Founded2008Unknown

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 BigQuery ML

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

Only in DeepSeek

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 DeepSeek
  • Linear and logistic regression on warehouse datanot DeepSeek
  • K-means clustering and matrix factorisation for recommendationsnot DeepSeek
  • Time series forecasting with ARIMA_PLUSnot DeepSeek
  • Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot DeepSeek

DeepSeek

  • Large language model and AI chat interfacenot BigQuery ML
  • API-based AI service for developersnot BigQuery ML
  • Natural language processing applicationsnot 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

DeepSeek

  • Specific pricing details not published on homepage; API pricing page referenced but content not available
  • No published tier information, costs, or feature limitations on main website
  • Free web interface available but API pricing models not disclosed

Pricing, plan by plan

BigQuery ML

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

DeepSeek

Free
  • Web ChatFree
    • Conversation access
    • Latest model access
  • API$undefined/variable
    • Pay-per-token pricing
    • Multiple models available

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 DeepSeek if

  • You want to start without paying.
  • You work on Web, iOS, Android, API.
DeepSeek review

Questions people ask

Is BigQuery ML or DeepSeek better?
Neither clearly leads. BigQuery ML starts at Free and DeepSeek at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery ML or DeepSeek?
BigQuery ML starts at Free and DeepSeek at Free.
Does BigQuery ML or DeepSeek run on more platforms?
BigQuery ML runs on Web. DeepSeek runs on Web, iOS, Android, API.
Can I use BigQuery ML for free?
Both have a free tier, so you can try either at no cost before committing.
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 DeepSeek is typically brought in for.
What can BigQuery ML do that DeepSeek 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
DeepSeek: Does DeepSeek offer a free version?

Yes, DeepSeek offers free conversations through its web interface. Specific free tier limitations and API pricing are available at https://api-docs.deepseek.com/zh-cn/quick_start/pricing.

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
DeepSeek: What is DeepSeek's pricing model?

DeepSeek references both free web-based conversations and paid API access. Detailed API pricing information is published on their API documentation site but not on the main homepage.

Source
DeepSeek: Can I use DeepSeek for commercial purposes?

DeepSeek's terms for commercial use are not clearly stated on the homepage. Contact DeepSeek or review their API documentation for commercial licensing and pricing information.

Source
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