LLM Reference

DBRX Instruct

Released
2024-03-27
Last refreshed
2026-05-16
Status
Researched 55d ago
DeprecatedOpen WeightsCommercial use with conditionsClassificationJSON / Tool use

DBRX Instruct is a legacy integration reference; keep it only while you identify a current replacement.

Use it for

  • Teams maintaining an existing integration
  • Workloads that can use a 32k context window
  • Buyers comparing 4 tracked provider routes

Do not use it for

  • New production launches
  • Vision or document-understanding workloads
Specifications
Family
DBRX
Released
2024-03-27
Context
32k
Parameters
132B
Architecture
Mixture of Experts
Specialization
general
Openness
Open weights
License
DBRXCommercial use with conditions
Training
finetuned
Created by

Advancing AI research and model development.

San Francisco, California, United States
Founded 2023
Website
Pricing
Output / 1M
$1.20
Input / 1M
$0.600

Cheapest of 6 routes · DeepInfra

About

DBRX Instruct, developed by Databricks, is a cutting-edge large language model designed for various natural language processing tasks. It excels in text summarization, question answering, information extraction, and code generation, utilizing a fine-grained mixture-of-experts architecture with 132 billion parameters. With advanced features like rotary position encodings, gated linear units, and grouped query attention, it performs exceptionally across multiple benchmarks, even outperforming some closed-source models. Trained on a vast 12 trillion token dataset, it supports contexts up to 32,000 tokens. Although primarily effective in English, its multilingual strength isn't fully explored. Users should be cautious as it may generate inaccurate or biased outputs.

DBRX Instruct is an open-weight model in the DBRX family. The structured metadata tracks a 32k-token context window and structured outputs. This page tracks provider routes through Microsoft Foundry, Databricks Foundation Model Serving, Together AI, and 3 more, with the cheapest tracked route listed at $0.6 input and $1.2 output per 1M tokens. No headline benchmark score is tracked for DBRX Instruct yet.

Top use-case fit

Classification

Included by capability and metadata signals in the decision map.

JSON / Tool use

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare all 6

Compare API pricing across 4 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
DeepInfra$0.600$1.20
Serverless
Fireworks AI$1.20$1.20
Serverless
Databricks Foundation Model Serving$0.750$2.25
ServerlessProvisioned
Microsoft Foundry$2.70$2.70
Provisioned

Available via routers & gateways(7)

Capabilities

Structured Outputs

Benchmark peer barsfor Classification

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

Migration checks

No linked migration route is available for this model yet.