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DBRX Instruct
Pricing
- Model
- Freemium
- Free Tier
- Professional Data and AI tools
Summary
Databricks' 132B open-source model optimized for coding and reasoning within enterprise AI stacks.
DBRX Instruct is a free, open-source large language model built by Databricks for instruction-following tasks in software development and enterprise applications. It uses a mixture-of-experts architecture to balance performance with efficiency, and integrates natively with Databricks' data platform—a meaningful advantage if you're already in that ecosystem. The model shows strong results on coding and reasoning benchmarks, but carries real limitations: no vision capabilities, a shorter context window than Claude or GPT-4, and less real-world adoption in mainstream enterprise settings. For teams deeply embedded in Databricks infrastructure, it's a compelling option; for everyone else, it remains a secondary choice.
Bottom line: *Use this if you're on Databricks and need coding-focused reasoning; skip it if you need multimodal capabilities or broad ecosystem support.*
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LLM Spec Sheet
Specializations
Benchmarks
Pricing & Limits
- Input price
- $1.20 / 1M tokens
- Output price
- $1.20 / 1M tokens
- Max output tokens
- 32,768
Metrics from vendor, updated .
Community Benchmarks Community
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Changelog
- — Output price first recorded at $1.20/1M · vendor
- — Input price first recorded at $1.20/1M · vendor
- — Max output first recorded at 32.8k tokens · vendor
- — Context first recorded at 32.8k tokens · vendor
- — Input price ↓ $1.20/1M → $0.50/1M · legacy-discovery
- — Output price ↑ $1.20/1M → $1.50/1M · legacy-discovery
- — MMLU first recorded at 80.7% · legacy-discovery
- — HumanEval first recorded at 87.5% · legacy-discovery
- — Max output ↓ 32.8k tokens → 4.1k tokens · legacy-discovery
Pros
Sign in to edit- Strong performance on coding and technical benchmarks
- Efficient mixture-of-experts architecture
- Native integration with Databricks AI Platform
- Competitive reasoning and instruction-following capabilities
Cons
Sign in to edit- Limited vision or multimodal capabilities
- Smaller context window compared to some competitors
- Less widely adopted than GPT-4 or Claude in enterprise market
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About
- Platforms
- Web, API
- Languages
- English
- API Available
- Yes
- Self-Hosted
- Yes
- Last Updated
- 2026-04-08T04:44:57.666Z
Best For
Who it's for
- Software development teams
- Enterprise AI applications
- Coding and technical tasks
- Organizations using Databricks platform
- Multi-turn dialogue systems
What it does well
- Code generation and completion
- Question-answering and retrieval
- Conversational AI
- Content creation
- Enterprise data applications
Integrations
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Frequently Asked Questions
- Is DBRX Instruct free?
- Yes — DBRX Instruct is fully free to use. There is no paid tier.
- Is DBRX Instruct open source?
- Yes. DBRX Instruct is open source — the source repository is at https://github.com/databricks/dbrx.
- Does DBRX Instruct have an API?
- Yes. DBRX Instruct exposes a developer API. See the official documentation at https://databricks.com for details.
- Can I self-host DBRX Instruct?
- Yes. DBRX Instruct supports self-hosting on your own infrastructure.
- When was DBRX Instruct released?
- DBRX Instruct was first released in 2024.
- What platforms does DBRX Instruct support?
- DBRX Instruct is available on: Web, API.
Hours Saved & ROI Stories Community
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Curated lists that include this category
DBRX Instruct is Databricks’ flagship instruction-tuned large language model, part of the DBRX family of models. Built on a mixture-of-experts (MoE) architecture with 132 billion total parameters, it delivers competitive performance on standard benchmarks while maintaining efficient inference characteristics. The model is optimized for enterprise deployment scenarios including code generation, question-answering, creative writing, and complex reasoning tasks. DBRX Instruct demonstrates particularly strong capabilities in programming-related tasks and multi-turn conversations, making it well-suited for developers and enterprises building AI applications on the Databricks platform.