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Cassidy gives you access to all leading AI models and automatically recommends the best options for different scenarios. You can choose models per Agent, per chat, and per Workflow step — so you always use the right tool for the job.

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Where you choose models

Choose any foundational model as the base for your custom Agents. You can also use default Agents that run on foundational models without your business context.
Model selector in the Agent configuration panel
Cassidy’s Recommended Models section is continuously updated as new models are released and evaluated. The platform surfaces the best-performing, most cost-effective models for your needs, and cost reductions from providers are automatically passed on to you.
Recommended Models section showing top model picks
You do not need to track AI model releases manually — Cassidy keeps recommendations current as new models launch.

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Model providers and strengths

Each provider has distinct strengths. Use this as a starting point, then experiment to find what works best for your specific tasks.

GPT (OpenAI)

Best for general Agent applications, everyday tasks, and Q&A. Reliable for information retrieval and a wide range of business queries. Excels at automation and general knowledge tasks.

Claude (Anthropic)

Preferred for creative writing, sales, and marketing content that needs a human-like touch. Ideal for drafting emails, marketing copy, and communication-heavy tasks that require natural-sounding language.

Gemini (Google)

Ideal for processing large amounts of information or synthesizing data from multiple sources, thanks to its larger context window. Great for deep research, complex data analysis, and summarizing lengthy documents.

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Model categories

Not all models within a provider are created equal. They fall into three categories based on capability and cost.
CategoryBest forSpeedCostNotes
Mini modelsHigh-volume, routine tasks like customer support triage, formatting, and summariesFastLowLatest mini models often match previous-generation full models in quality
General-purpose modelsEveryday tasks — Q&A, creative writing, moderate analysisModerateModerateThe best starting point for most use cases
High-reasoning modelsComplex multi-step reasoning, legal analysis, financial workflows, STEMSlowHigh”Think” longer before responding; break down problems step by step

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Understanding credit consumption

Credit usage scales with prompt size and response length — complex tasks with lots of context consume proportionally more credits.
Model tierRelative costExamples
Standard general-purpose1xGPT 5.2, Claude 4.6 Sonnet
Premium general-purpose~3xClaude 4.6 Opus
High-reasoning~5xo1
For most use cases, standard general-purpose models offer excellent performance at the best value. Start with these and switch to premium or high-reasoning models only when you need their specialized capabilities.
For more on managing credits, see Manage credits.

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Best practices

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Match the model to the task

  • Use mini models for summarization, formatting, and routine Workflow steps
  • Use general-purpose models for everyday tasks that do not require deep reasoning
  • Use high-reasoning models for complex analysis, planning, or when accuracy is critical

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Mix and match in Workflows

For optimal efficiency, combine different models within the same Workflow:
  • Mini models for straightforward steps like data formatting
  • General-purpose models for generating final content
  • High-reasoning models for multi-step analytical work or critical decision points

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Consider your specific use case

Use caseRecommended provider
Quick answers, document retrieval, general automationGPT
Natural-sounding writing, emails, creative contentClaude
Large-scale data processing, research synthesis, long documentsGemini

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Next steps

Build and configure an Agent

Create a custom Agent and select the right model for its role.

Prompt engineering guide

Write effective prompts that get the most out of any model.