Hex
Hex
9
Notebooks with an AI analyst
- Version
- September 10, 2026 release
- Cost
- Free tier · from $36/mo
- Model
- Claude
dbt Copilot
dbt Labs · #1 most active of 12 in Data & Analytics
Generates models, tests and documentation inside dbt projects.
100
Trust score · Verified
2 data points checked · 2026-09-10
Current version
Advanced dbt Copilot
Entry cost
from $100/mo
Changes / 30d
10
The short answers · verified September 16, 2026
- What is the latest version of dbt Copilot?
- The current shipped version of dbt Copilot is Advanced dbt Copilot, as of September 16, 2026.
- How much does dbt Copilot cost?
- dbt Copilot starts at $100 per month on its cheapest paid tier, as of September 16, 2026.
- What AI model does dbt Copilot use?
- dbt Copilot runs primarily on dbt-managed AI.
Source: dbt Labs — docs.getdbt.com · Reusable under CC BY 4.0 — cite Tomorrow
Capabilities
- Model generation
- Test generation
- Documentation
- Semantic layer queries
- Fusion engine
- Basic dbt Copilot
- Advanced dbt Copilot
- Code generation
- BYOK (Bring Your Own Key) support
- code generation
- API access
- BYOK support
- Bring Your Own Key (BYOK)
- Metering limits
- dbt Copilot code generation
- sql generation
- Studio IDE integration
- natural language prompts
- ide integration
- chat assistant
- SQL translation
- CLI integration
- dbt Copilot basic
- dbt Copilot advanced
- developer seat limit
- audit logging
- api access
- natural language query
- semantic layer integration
- IDE integration
- AI assistant
- natural language interface
- Natural language interface
- dbt Cloud integration
- AI copilot
- advanced dbt copilot
- dbt Semantic Layer
- dbt Catalog
- dbt Wizard
- dbt Canvas
- dbt Insights
- dbt Mesh
- Analytics engineering assistant
- AI code generation
- dbt Catalog advanced
- dbt Semantic Layer advanced
- SQL metric definition
- Natural language querying
- AI-assisted development
- Natural language queries
- Data governance
- AI agent
- AI Assistant
- Data and AI
- AI assistance
- Analytics engineering helper
- SQL generation
- Metric definitions
- AI features
- Explore mode
- SQL assistant
- analytics engineering
Pricing
Enterprise
Custom pricing, includes Advanced dbt Copilot
Free
Entry price over time
12 of 42 points reconstructed from Internet Archive captures (hollow dots) — dated by capture, not by when we first saw the page. View a capture
Geek mode
Models under the hood
- unknown
dbt-managed AI
dbt Labs
- inferred
gpt-4o
openai
- unknown
Undisclosed frontier LLM
Provider undisclosed
Context window
Not published
Public API
yes
Multi-model routing
no
Stack signals
- dbt Cloud IDE
- MCP server
Shared model stack
Other tracked products running on the same foundation models — a quick read on how much of the catalog moves when one of these models changes.
- Undisclosed frontier LLMProvider undisclosed · 9 products
- GPT-4o+1 aliasOpenAI · 5 products
- dbt-managed AIdbt Labs · 1 product
green disclosed · amber inferred · grey unattributed. Aliases are folded into one model; provider concentration counts only models with an established vendor.
Reported scale
Reference data. Each figure is whatever the source actually said — weekly users, downloads, revenue run-rate — with its own definition and date. These are not comparable between tools and are never used to rank anything.
No public usage figure on record for this product.
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Julius
9
Chat with your spreadsheets
- Version
- 1.2
- Cost
- Free tier · from $20/mo
- Model
- Claude
AI/BI Genie
Databricks
4
Ask your lakehouse questions
- Version
- Genie
- Cost
- No additional license fees. Included with Databricks Lakehouse usage (standard DBU rates apply).
- Model
- Claude
ThoughtSpot Spotter
ThoughtSpot
3
Agentic analytics
- Version
- Spotter
- Cost
- from $50/mo
- Model
- GPT-5.2
Mosaic AI
DatabricksUnited States
1
Model training and serving on the lakehouse
- Version
- 2026 platform
- Cost
- 14-day free trial with up to $400 in free credits; contact for pricing
- Model
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Snowflake Cortex
Snowflake
1
LLM functions inside the warehouse
- Version
- Cortex AI
- Cost
- Usage-based consumption pricing (costs vary by Snowflake edition and compute usage)
- Model
- Anthropic Claude
Elsewhere on the same models
Products in other segments that name one of dbt Copilot's models in their stack.
OpenEvidence
OpenEvidence
Medical answers with citations
- Version
- 2026 platform
- Cost
- Free for verified clinicians
- Model
- Undisclosed frontier LLM
Change history
- capability
- capability
- capability
- capability
New capabilities: SQL generation, Metric definitions
56 tracked58 tracked · +SQL generation, Metric definitions
source - capability
New capabilities: AI assistance, Analytics engineering helper
54 tracked56 tracked · +AI assistance, Analytics engineering helper
source - capability
- version
- pricing
- model
dbt Copilot added dbt-managed AI to its model stack
Undisclosed frontier LLM, gpt-4oUndisclosed frontier LLM, dbt-managed AI, gpt-4o
source - capability
- capability
New capabilities: AI-assisted development, Natural language queries, Data governance
48 tracked51 tracked · +AI-assisted development, Natural language queries, Data governance
source - capability
New capabilities: SQL metric definition, Natural language querying
46 tracked48 tracked · +SQL metric definition, Natural language querying
source - capability
New capabilities: dbt Catalog advanced, dbt Semantic Layer advanced
44 tracked46 tracked · +dbt Catalog advanced, dbt Semantic Layer advanced
source - capability
New capabilities: Analytics engineering assistant, AI code generation
42 tracked44 tracked · +Analytics engineering assistant, AI code generation
source - capability
New capabilities: dbt Semantic Layer, dbt Catalog, dbt Wizard
36 tracked42 tracked · +dbt Semantic Layer, dbt Catalog, dbt Wizard, dbt Canvas, dbt Insights, dbt Mesh
source - capability
- capability
- pricing
- capability
New capabilities: Natural language interface, dbt Cloud integration
32 tracked34 tracked · +Natural language interface, dbt Cloud integration
source - capability
New capabilities: natural language interface
31 tracked32 tracked · +natural language interface
source - capability
- capability
New capabilities: natural language query, semantic layer integration, IDE integration
27 tracked30 tracked · +natural language query, semantic layer integration, IDE integration
source - model
dbt Copilot added gpt-4o to its model stack
Undisclosed frontier LLMUndisclosed frontier LLM, gpt-4o
source - capability
New capabilities: developer seat limit, audit logging, api access
24 tracked27 tracked · +developer seat limit, audit logging, api access
source - capability
New capabilities: dbt Copilot basic, dbt Copilot advanced
22 tracked24 tracked · +dbt Copilot basic, dbt Copilot advanced
source - capability
New capabilities: SQL translation, CLI integration
20 tracked22 tracked · +SQL translation, CLI integration
source - capability
- capability
- capability
New capabilities: Studio IDE integration, natural language prompts
16 tracked18 tracked · +Studio IDE integration, natural language prompts
source - capability
- version
- capability
- capability
- capability
- capability
- capability
Fusion engine integration added to dbt Copilot
Model generation, Test generationModel generation, Test generation, Fusion engine
source - capability
New capabilities: code generation, dbt Canvas, dbt Semantic Layer
4 tracked7 tracked · +code generation, dbt Canvas, dbt Semantic Layer
source - version
- capability
New capabilities: Code generation, dbt Copilot code generation
5 tracked7 tracked · +Code generation, dbt Copilot code generation
source - version
dbt Copilot compared
Straight head-to-head pages against the busiest products in Data & Analytics.
How to cite this page
Free to cite and reuse under CC BY 4.0. Permalink: https://tomorrow.aliensquad.ai/tools/dbt-copilot
APA
Tomorrow. (2026). dbt Copilot — version, pricing and model stack [Data set entry]. AlienSquad. Retrieved 2026-09-17, from https://tomorrow.aliensquad.ai/tools/dbt-copilot
BibTeX
@misc{tomorrow-tools-dbt-copilot,
author = {{Tomorrow}},
title = {dbt Copilot — version, pricing and model stack},
year = {2026},
publisher = {AlienSquad},
howpublished = {\url{https://tomorrow.aliensquad.ai/tools/dbt-copilot}},
note = {Accessed: 2026-09-17}
}