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Hatz LLM Guide

A beginner-friendly guide to choosing the best AI model for your use case

Hatz LLM Guide

Use this guide to choose the right kind of model for a task. For the current model inventory, tiers, security notes, rollout notes, and model-by-model table, use LLMs Available On Hatz. That article is the canonical list and is updated when new models are added or rollout status changes.

See a model in the current model list that you do not have access to? It may be disabled for your organization, restricted by role, unavailable in that product surface, or in a controlled rollout period.

Choosing a model

  • Use Auto Model Selection first when you want Hatz to balance quality, speed, and credit usage for the task.

  • Use efficient standard models for everyday drafting, summarization, classification, quick Q&A, and low-risk work.

  • Use stronger reasoning models for complex analysis, coding, multi-step reasoning, or work where accuracy matters more than speed.

  • Use vision or multimodal models when images, screenshots, PDFs, or visual documents are central to the task.

  • Use tool-capable models when the task needs integrations, web research, Code Execution, workflow runs, or other tool calls.

Credit and availability context

More capable models may use more credits. For relative credit usage, see Model Multipliers.

Admins can also restrict models by organization policy, package, product surface, or role. If a model appears in documentation but not in your selector, check with your MSP administrator or account owner.

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