Last refreshed 2026-05-01. Next refresh: weekly.
Why use DBRX Instruct on NVIDIA NIM?
NVIDIA NIM offers DBRX Instruct with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.
Compare DBRX Instruct across 6 providers to find the best fit for your use caseSetup recipe
Docs fallbackUse the provider REST API or SDKCreate a provider API keymodel: dbrx-instructdbrx-instructRequest example
dbrx-instruct.Gotchas
No curated gotchas have been sourced for this exact provider/model route yet.
Compare DBRX Instruct Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Microsoft Foundry | $2.70 | $2.70 |
| Databricks Foundation Model Serving | $0.75 | $2.25 |
| Together AI | $1.20 | $1.20 |
| NVIDIA NIM | — | — |
| DeepInfra | $0.60 | $1.20 |
Capabilities
About DBRX Instruct
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.