Benchmark analysis of DBRX Instruct by Databricks across 2 tests.
According to BenchLM.ai, DBRX Instruct ranks #97 out of 100 models with an overall score of 32/100. While not a frontier model, it offers specific advantages depending on the use case.
DBRX Instruct is a open weight model with a 32K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
This profile currently has 2 of 22 tracked benchmarks, so the overall score is conservative until the rest of the suite is filled in.
Its strongest category is Coding (#17), while its weakest is Mathematics (#99). This performance profile makes it particularly well-suited for software development and code generation tasks.
Creator
Databricks
Source Type
Open WeightReasoning
Non-ReasoningContext Window
32K
Overall Score
DBRX Instruct ranks #97 out of 100 models with an overall score of 32. It is created by Databricks and features a 32K context window.
DBRX Instruct ranks #30 out of 100 models in knowledge and understanding benchmarks with an average score of 73.7. There are stronger options in this category.
DBRX Instruct ranks #17 out of 100 models in coding and programming benchmarks with an average score of 70.1. There are stronger options in this category.
Yes, DBRX Instruct is an open weight model created by Databricks, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Not yet. DBRX Instruct currently has 2 sourced benchmark scores out of the 22 benchmarks BenchLM tracks, so its overall score is intentionally conservative until more results are added.
DBRX Instruct has a context window of 32K tokens, which determines how much text it can process in a single interaction.
New model releases, benchmark scores, and leaderboard changes. Every Friday.
Free. Your signup is stored with a derived country code for compliance routing.