LLM Reference

DBRX

Released
2024-03-27
Last refreshed
2026-05-19
Status
Researched 115d ago
Open weightsCommercial use: conditional

DBRX is worth evaluating for general LLM work when its provider route and context window match the workload.

Use it for

  • Teams evaluating general LLM work
  • Workloads that can use a 32k context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Family
DBRX
Released
2024-03-27
Context
32k
Parameters
132B
Architecture
Mixture of Experts
Knowledge cutoff
2023-12
Specialization
general
Openness
Open weights
License
DBRXCommercial use: conditional
Weights
Unknown
Code
Unknown
Training
Fine-tuned
Created by
Databricks MosaicDatabricks Mosaic

Advancing AI research and model development.

San Francisco, California, United States
Founded 2023
Website
Pricing
Output / 1M
-
Input / 1M
-

Cheapest of 1 route · Databricks Foundation Model Serving

Providers(1)
Databricks Foundation Model Serving
View 1 provider route

About

DBRX is a language model from Databricks Mosaic. It offers a 32K-token context window.

Top use-case fit

No primary decision-task fit is mapped for this model yet.

Provider price ladder

Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Databricks Foundation Model Serving--
ProvisionedPartial

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.