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# Standard and Custom Language Models

Before you run a speech processing operation, you must decide whether to use a standard language model or a custom model. This table summarizes the main features of both types of language model.

Standard language model | Custom language model
--- | ---
Available out of the box | Need to create yourself using IDOL Speech Server tools
Even coverage of topics | Focuses on particular topics, which increases accuracy
Trained on billions of words | Generally trained on a smaller number of words; however, you can combine it with the standard language model when you perform tasks, to increase the coverage
Might not cover specialist vocabulary | Can cover specialist vocabulary, such as technical terms or product names

You can also estimate the suitability of a language model for a task by calculating its perplexity (see Calculate Perplexity).

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