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Databricks Released: 2024-03-27

DBRX

Model Specifications

Context Window 32k tokens
Parameters 132B
Pricing (Input) $1.50 / M tokens
Pricing (Output) $4.50 / M tokens

What is DBRX?

DBRX is a dense Mixture of Experts (MoE) model developed by Databricks, released in March 2024. With 132 billion total parameters, it only activates 36 billion parameters per token, balancing compute costs and intelligence.

It out-performs older open models on programming, logic, and reasoning tasks, serving as a solid base for enterprise-specific custom model training.

Key Capabilities

  • Sparse MoE architecture: High-efficiency parameter routing.
  • Advanced logic: Strong performance on mathematical reasoning.
  • Open-weight flexibility: Can be fine-tuned and hosted privately.

Ideal Use Cases

  • Private enterprise deployments: Running custom LLMs on private servers.
  • SQL generation: Translating natural language questions into database queries.
  • Technical content analysis: Summarizing engineering logs.

Historical figures, architectures, and capabilities are for informational purposes only. Not technical, professional, legal, or financial advice. Sources: Benchmark evaluations derived from public developer statements.