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  4. DBRX Instruct
open sourcellm

DBRX Instruct

Frontier-class MoE LLM by Databricks — beats GPT-3.5 and Mixtral

Developed by Databricks

Try Model
132B total / 36B activeParams
YesAPI
stableStability
DBRX InstructVersion
Databricks Open Model LicenseLicense
PyTorch / MegablocksFramework
YesRuns Local

Playground

Implementation Example

Example Prompt

user input
Write a SQL query: From a 'sales' table with columns (date, region, product_id, units_sold, revenue), return total revenue by region for Q4 2025, sorted high to low.

Model Output

model response
SELECT region, SUM(revenue) AS total_revenue FROM sales WHERE date BETWEEN '2025-10-01' AND '2025-12-31' GROUP BY region ORDER BY total_revenue DESC;

Examples

Real-World Applications

  • Enterprise chatbots
  • code generation
  • document analysis
  • RAG systems
  • financial analysis
  • vertical-AI fine-tuning
  • Databricks-native deployments.

Docs

Model Intelligence & Architecture

What is DBRX Instruct?

DBRX Instruct is a state-of-the-art open-source LLM released by Databricks (the team behind MosaicML and Apache Spark) in March 2024. It uses a fine-grained Mixture-of-Experts (MoE) architecture with 132 billion total parameters (16 experts, top-4 routing) and 36 billion active parameters per token.

At launch, DBRX Instruct outperformed GPT-3.5, Llama 2-70B, and Mixtral 8x7B on most benchmarks, while being released under the Databricks Open Model License — free for most commercial use including by companies under 700M monthly active users.

Why DBRX Is Trending in 2026

DBRX brought fine-grained MoE design mainstream — 16 smaller experts with 4 active per token, instead of the 8-expert / 2-active design of Mixtral. This delivers better quality per active parameter and is now influencing how Mistral, Qwen, and DeepSeek design their MoE models.

Key Features and Capabilities

DBRX Instruct supports a 32K-token context window, function calling, JSON output, code generation, math reasoning, and multi-turn dialogue. It was trained on 12 trillion tokens of carefully curated data.

Who Should Use DBRX?

DBRX is ideal for enterprise data teams, Databricks customers, AI researchers, and large-scale production deployments needing frontier-class quality with permissive licensing.

Top Use Cases

Real-world applications include enterprise chatbots, code generation pipelines, document analysis, RAG systems for internal knowledge bases, financial analysis, and fine-tuning for vertical AI products.

Where Can You Run It?

DBRX is available on Databricks Mosaic AI, Hugging Face, AWS, Azure, and Together AI. Self-hosting requires substantial GPU infrastructure (~264 GB VRAM at BF16, 8× A100 80GB) due to the 132B total parameter count.

How to Use DBRX (Quick Start)

Easiest: use Databricks Mosaic AI's hosted API. For Hugging Face: databricks/dbrx-instruct. Use the standard chat template provided by the tokenizer.

When Should You Choose DBRX?

Choose DBRX when you need frontier MoE quality with Databricks ecosystem integration. It's especially attractive for organizations already on the Databricks platform.

For comparable open-source MoE quality with simpler deployment, consider Mixtral 8x22B or DeepSeek-V3.

Pricing

Free under the Databricks Open Model License for most uses. Enterprise customers can use it natively in Databricks Mosaic AI.

Pros and Cons

Pros: ✔ Fine-grained MoE (16 experts) ✔ Beats GPT-3.5 and Mixtral 8x7B ✔ 32K context ✔ Function calling ✔ Strong code & math ✔ Databricks ecosystem

Cons: ✘ Heavy GPU requirements ✘ Custom Databricks license vs Apache 2.0 ✘ Smaller community than Llama or Mistral

Final Verdict

DBRX Instruct pioneered fine-grained MoE design and remains a strong frontier-class open model in 2026 for enterprise deployments. Discover more enterprise AI at FreeAPIHub.com.

Evaluation

Advantages & Limitations

Advantages
  • ✓ Fine-grained MoE (16 experts)
  • ✓ Beats GPT-3.5 and Mixtral 8x7B
  • ✓ 32K context window
  • ✓ Function calling
  • ✓ Strong code and math
  • ✓ Databricks ecosystem
Limitations
  • ✗ Heavy GPU requirements
  • ✗ Custom Databricks license
  • ✗ Smaller community than Llama/Mistral

Important Notice

Verify Before You Decide

Last verified · Apr 29, 2026

The details on this page — including pricing, features, and availability — are based on our last review and may not reflect the provider's current offering. Providers update their products frequently, sometimes without prior notice.

What may have changed

Pricing Plans
Features & Limits
Availability
Terms & Policies

Always visit the official provider website to confirm the latest pricing, terms, and feature availability before subscribing or integrating.

Check official site

External Resources

Try the Model Official Website Source Code Pricing Details

Technical Details

Architecture
Fine-grained Mixture-of-Experts (16 experts, top-4 routing)
Stability
stable
Framework
PyTorch / Megablocks
License
Databricks Open Model License
Release Date
2024-03-27
Signup Required
No
API Available
Yes
Runs Locally
Yes

Rate Limits

No limits self-hosted; Databricks Mosaic AI tiered pricing

Pricing

Free under Databricks Open Model License

Best For

Enterprise teams on Databricks needing frontier MoE quality with permissive license

Alternative To

GPT-3.5, Mixtral 8x7B, Llama 2-70B

Compare With

dbrx vs mixtraldbrx vs llama 2dbrx vs gpt-3.5best moe open llmdatabricks vs huggingface llm

Tags

#Enterprise AI#Dbrx#Databricks#Mixture Of Experts#Open Source AI#llm

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