Machine Learning · head to head
BigQuery ML vs Poe
BigQuery ML
Machine Learning
Machine learning in BigQuery using SQL
- From
- Free
- Free plan
- Yes
Poe
AI
Chat platform that gives access to many AI models from one subscription
- From
- Free
- Free plan
- Yes
The short version
- Each has a real cost: BigQuery ML not available in BigQuery's Standard edition, so the cheapest tier cannot use it; Poe points-based pricing makes cost per message hard to predict across models.
- They diverge on capability: BigQuery ML covers SQL-based ML, Poe covers Multi-model chat.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which BigQuery ML and Poe actually diverge.
| Attribute | BigQuery ML | Poe |
|---|---|---|
| Pricing model | usage-based | freemium |
| Platforms | Web | web, ios, android, windows, mac |
| Category | Machine Learning | AI |
| Founded | 2008 | 2009 |
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 Poe
- Multi-model chat
- Custom bots
- Image and video generation
- Points-based usage
- API access for bot creators
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 Poe
- Linear and logistic regression on warehouse datanot Poe
- K-means clustering and matrix factorisation for recommendationsnot Poe
- Time series forecasting with ARIMA_PLUSnot Poe
- Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot Poe
Poe
- Comparing responses across multiple AI modelsnot BigQuery ML
- Building and sharing custom prompt-based botsnot BigQuery ML
- Accessing premium models without separate subscriptionsnot BigQuery ML
- Generating images or video from a chat interfacenot 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
Poe
- Points-based pricing makes cost per message hard to predict across models.
- Heavy usage of top-tier models can exhaust points quickly on lower plans.
- No native fine-tuning or persistent long-term memory across bots.
- Custom bots are limited to prompt engineering rather than full agent tooling.
Pricing, plan by plan
BigQuery ML
Free- Free TierFree
- 10GB storage
- 1TB queries
- On-Demand$5/TB
- Pay per TB scanned
- ML training costs
Poe
Free- FreeFree
- Limited daily messages across select models
- Starter$4.99/month
- Monthly compute points
- Access to premium models
- Premium$19.99/month
- Larger monthly point allowance
- Priority access to premium models
- Premium Plus$49.99/month
- Higher point allowance for heavy usage
Which should you pick?
Choose BigQuery ML if
- You need sql-based ml.
- You want to start without paying.
- You also want automl tables.
Choose Poe if
- You need multi-model chat.
- You want to start without paying.
- You work on web, ios, android, windows, mac.
- You also want custom bots.
Questions people ask
- Is BigQuery ML or Poe better?
- Neither clearly leads. BigQuery ML starts at Free and Poe at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, BigQuery ML or Poe?
- BigQuery ML starts at Free and Poe at Free.
- Does BigQuery ML or Poe run on more platforms?
- BigQuery ML runs on Web. Poe runs on web, ios, android, windows, mac.
- 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 Poe is typically brought in for.
- What can BigQuery ML do that Poe cannot?
- BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. Poe covers Multi-model chat, Custom bots, Image and video generation, Points-based usage.
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.
SourcePoe: How does Poe's pricing work?
Poe uses a monthly points system: each subscription tier grants a pool of compute points that are spent per message, with the amount depending on which underlying AI model is used.
SourceBigQuery 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.
SourcePoe: Is there a free plan on Poe?
Yes, Poe offers a free tier with limited daily messages across a selection of models before users need a paid subscription for more access.
SourcePoe: What do the paid subscription tiers cost?
Poe offers Starter at $4.99/month, Premium at $19.99/month, and Premium Plus at $49.99/month, each granting a larger monthly pool of compute points.
SourcePoe: What happens if I run out of points?
Once a subscription's monthly point allowance is exhausted, further use of premium models is limited until the points refresh or the user upgrades or purchases more.
SourcePoe: Can developers build on Poe?
Yes, Poe lets creators build and publish custom bots, and developers can connect their own model endpoints as bots via Poe's API.
SourceRelated pages
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- Poe vs Adobe Firefly
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- Poe vs Character.AI
- Poe vs Verbit
- Poe vs Wordtune
- Poe vs Amazon Q Developer
- Poe vs Anyword