# Models & LLM Management

This section covers how Unique selects, validates, and manages the language models available on the platform. [How We Evaluate Models](https://docs.unique.ai/administrators/models-llm-management/how-we-evaluate-models) describes the four-stage funnel used to assess models — from public benchmark screening and functional reliability testing through human-run financial validation and continuous automated regression. [Benchmarking](https://docs.unique.ai/administrators/models-llm-management/benchmarking) provides the framework customers can use to test models against their own use cases. [Model Usage and Cost Management](https://docs.unique.ai/administrators/models-llm-management/model-usage-and-cost-management) explains how administrators track token consumption and estimated spend per user, assistant, or application, and how to set per-user daily spending limits. [Define Language Model Info via Environment Variable](https://docs.unique.ai/administrators/models-llm-management/define-language-model-info-via-environment-variable) covers the environment variable approach for configuring which models are available in a given deployment.