Databricks Mosaic

13 models across 4 families · Latest: DBRX Expanse (2024-11)

Researched 125d ago

Advancing AI research and model development.

ClassificationJSON / Tool useBusiness

Databricks Mosaic's portfolio covers 12 active models across 4 current families, spanning classification and json / tool use. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 2 workload areas across 12 active tracked models; last verified 2026-05-19.

Use it for

Teams evaluating classification and json / tool use across this lab's releases
Comparing model families before committing to a flagship
Migration and pricing follow-ups across 12 tracked models

Do not use it for

Choosing a hosting provider without opening a model page for price ladders

Active models

Current models from this lab, excluding deprecated ones

Active families

Current model families from this lab

Open catalog

12 open

6 open source / 6 open weights

Lowest output price

$0.070 /1M

Cheapest tracked output across active models, per 1M tokens

Latest dated release

2024-11-21

DBRX Expanse

Freshness

2026-05-19

Researched 125d ago

stale

Information

Founded2023

San Francisco, California, United States

Links

Website GitHub X / Twitter LinkedIn HuggingFace Crunchbase

Release cadence

Dated releases: 5
Latest model: DBRX Expanse
Latest date: 2024-11-21

Where this lab wins

Classification: 1 tracked model with MMLU-class moderation/safety coverage.
JSON/tool-use: 1 tracked model with BFCL / Nexus strict-JSON routing coverage.

Flagship quality / price signal

Flagship: DBRX
Selection source: Best sourced coding Q/$
Coding grade: unknown
Benchmark / output price: Not enough sourced benchmark and price coverage

About

Databricks Mosaic Research is the AI research arm of Databricks, dedicated to pushing the boundaries of machine learning and AI model development. Their work focuses on designing novel architectures, training techniques, and optimization methods to create more powerful, efficient, and scalable AI models. By collaborating with the broader AI community and contributing to open-source projects, Databricks Mosaic Research aims to drive innovation and democratize access to cutting-edge AI technologies.