Machine Learning · pricing
BigQuery ML pricing
BigQuery ML publishes 2 tiers. Below is each one, what it adds over the tier beneath it, and where the ladder stops being worth climbing for most people.
As of 30 August 2026, BigQuery ML pricing is free across 2 published tiers. Figures are the vendor's list prices as recorded on this page's last check; the vendor's site is the final word.
- Entry price
- Free
- Model
- Usage-based
- Tiers
- 2
- Free tier
- Yes
BigQuery ML plans, side by side
Every published tier in ascending order of price, with the number of features each one lists. An absence here means the record does not itemise it, not that the tier lacks it.
| Plan | Price | Features listed | Step up from the tier below |
|---|---|---|---|
| Free Tier | Free | 2 | Entry tier |
| On-Demand | $5/TB | 2 | +$5/TB, 2 more features |
What each tier adds
The set difference between each tier's feature list and the one beneath it. Where a tier lists nothing new, the vendor has either stopped repeating the inherited list or the tier raises limits rather than adding capability, the record does not distinguish the two, so this page does not either.
Free Tier
FreeThe entry tier. It covers 10gb storage, 1tb queries.
On-Demand
$5/TBOver Free Tier, this tier adds:
- Pay per TB scanned
- ML training costs
Where BigQuery ML stops being free
Free Tier, Free
- 10GB storage
- 1TB queries
On-Demand, $5/TB
The first thing you pay for:
- Pay per TB scanned
- ML training costs
What the product covers
The full BigQuery ML feature record, grouped as the catalogue groups it. This is the product as a whole; the record does not map every feature onto a specific tier.
Other
- SQL-based ML
- AutoML Tables
- Model export
- Prediction functions
- Feature preprocessing
Integrations
- BigQuery
- Vertex AI
- TensorFlow
- Cloud Storage
Platform
- Web support
People bring BigQuery ML in 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, running imported onnx, tensorflow or xgboost models against bigquery data. If that is not the job you are buying for, the alternatives to BigQuery ML are worth a look before you commit to a tier.
How that compares in Machine Learning
Too few machine learning tools in this directory publish a starting price to quote a meaningful median, so the table below is a like-for-like list rather than a ranking.
| Tool | Entry price | Model | Rated | Head to head |
|---|---|---|---|---|
| BigQuery ML (this page) | Free | usage-based | - | |
| ClearML | Free | Open-source self-hosted, with paid hosted and enterprise tiers | - | vs BigQuery ML |
| Langwatch | Free, then €29/month | Tiered subscription with usage-based overage charges | - | vs BigQuery ML |
| Haystack | Free | Open-source with optional paid enterprise support | - | vs BigQuery ML |
| Semantic Kernel | Free | Open source, no pricing | - | vs BigQuery ML |
| Fal AI | $1.89/hour | usage-based | - | vs BigQuery ML |
| H2O.ai | Free | freemium | - | vs BigQuery ML |
Ratings are aggregated from third-party sources and imported with each catalogue entry, they are not reviews hosted on Softwr. How each figure is used is set out on the BigQuery ML badges page.
Before you pay for BigQuery ML
Three things this page cannot tell you, and all three change the bill. The record carries a price and a billing period but not the unit - per-seat and flat-rate pricing are indistinguishable in this data, so a five-person team may be looking at five times the figure above. It carries no annual rate, so any discount for paying yearly is not something this page can quote. And it carries no trial length.
What it can tell you is the shape of the ladder: 2 tiers between Free and $5/TB, with the jump itemised above. Because there is a free tier, the cheapest way to answer the rest is to use it before paying anything.
BigQuery ML runs on web, and is published by Google Cloud of Mountain View, California. The full record is on the BigQuery ML review, and the rest of the category is under best machine learning tools.
BigQuery ML pricing questions
- How much does BigQuery ML cost?
- BigQuery ML publishes 2 tiers, from Free for Free Tier up to $5/TB for On-Demand. The entry tier costs nothing.
- Does BigQuery ML have a free plan?
- Yes. The Free Tier tier costs nothing and covers 10gb storage, 1tb queries. Paying starts at $5/TB for On-Demand.
- What is the difference between Free Tier and On-Demand on BigQuery ML?
- On-Demand costs $5/TB against Free, and adds pay per tb scanned, ml training costs.
- Which machine learning tools can I use without paying?
- 7 of the 8 machine learning tools listed alongside BigQuery ML have a free tier: ClearML, Langwatch, Haystack, Semantic Kernel, H2O.ai.
- What am I actually paying for with BigQuery ML?
- The record lists 10 features across 3 areas: other, integrations, platform. In practice it is brought in for training models in sql without exporting data, linear and logistic regression on warehouse data, k-means clustering and matrix factorisation for recommendations.
- Does BigQuery ML charge per user?
- The record carries a price and a billing period for each of its 2 tiers, but not the unit that price is charged in. Per-seat and flat-rate billing look identical in this data, so check the vendor's page before budgeting for a team.
- Are these BigQuery ML prices current?
- They are what the catalogue entry holds, refreshed when the entry is. Vendors change pricing without notice and nobody at Softwr re-verifies each tier by hand, so treat this as a structured summary and the vendor's own pricing page as the authority.
- What should I compare BigQuery ML against before paying?
- The closest machine learning tools in this directory are ClearML, Langwatch, Haystack, Semantic Kernel. Each has a side-by-side comparison with BigQuery ML covering price, platforms and features.