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LLMS • CURATED • UPDATED DEC 27, 2026

DBRX

Databricks' high-performance open-source LLM

DBRX is a mixture-of-experts transformer model developed by Databricks and Mosaic ML. Released on March 27, 2024, with 132 billion total parameters (36B active parameters per token). Available in base and instruction-tuned (dbrx-instruct) variants. Outperforms other open-source models in various benchmarks including language understanding, programming, and mathematics. Uses fine-grained mixture-of-experts (MoE) architecture with 16 experts and 4 active per token for efficient inference. Trained at approximately $10 million cost. Released under Databricks Open Model License (permissive for research and commercial use). Available through Databricks Foundation Models API, Hugging Face, and open-source model weights.

1 Leverage MoE architecture for efficient inference
2 Use for high-performance code generation tasks
3 Take advantage of strong mathematical reasoning
4 Explore fine-tuning for domain-specific applications
5 Use Databricks platform for managed deployment
Claude Opus 4.6 NotebookLM Grok DeepSeek Llama

High-Performance Code Generation

Use DBRX for advanced code generation, refactoring, and software development tasks.

STEPS:
  1. Access DBRX through API or local deployment
  2. Provide detailed code requirements
  3. Generate high-quality code solutions
  4. Review and test generated code

Mathematical Problem Solving

Leverage DBRX's strong mathematical reasoning for complex problem-solving tasks.

STEPS:
  1. Input mathematical problems or equations
  2. Use DBRX's reasoning capabilities
  3. Get step-by-step solutions
  4. Validate mathematical accuracy
Freemium Free tier available

Free tier includes limited features. Paid plans unlock full access, higher usage limits, and commercial usage rights.

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Q

Is DBRX free?

A

DBRX offers a free tier with limited features, plus paid plans for advanced capabilities and higher usage limits.

Q

What can I do with DBRX?

A

DBRX is designed for High-performance applications, Code generation, Mathematical reasoning. DBRX is a mixture-of-experts transformer model developed by Databricks and Mosaic ML. Key strengths include Strong benchmark performance (outperforms Llama 3 70B, Mixtral) and Efficient mixture-of-experts architecture (16 experts, 4 active).

Q

How do I use DBRX?

A

DBRX is a large language model for text generation, analysis, and conversation. Use the API for programmatic access. Enter prompts or questions to get responses. It excels at strong benchmark performance (outperforms llama 3 70b, mixtral).

Q

How do I get started with DBRX?

A

Visit Databricks' DBRX blog post for documentation. Download model weights from Hugging Face or GitHub. For API access, use Databricks Foundation Models API. Deploy locally using vLLM, TensorRT-LLM, or compatible frameworks. Follow Databricks' docume...

Q

Is DBRX open source?

A

Yes, DBRX is open source. You can access the source code on GitHub at https://github.com/databricks/dbrx, contribute to development, and deploy it on your own infrastructure.