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Introduction

Traycer uses different models for different steps (planning, review, verification, iteration, etc.). You can control this behavior through profiles and model selection modes.

Understanding Profiles

A profile is a preset configuration that maps specific models to each step in your Traycer tasks.
  • Different steps have different requirements—some need deep reasoning, others benefit from speed
  • Profiles bundle these step-to-model mappings with specific capability/cost tradeoffs
  • Steps include operations like planning, iteration, review, verification, and orchestration

System Profiles

Traycer provides two built-in profiles that serve as the foundation for model selection:

Balanced

The default profile for everyday usage. Offers a carefully tuned mix of quality, speed, and cost across all steps.

Frontier

The premium profile using top-tier models with maximum reasoning capability. Best for complex tasks where quality is the priority.

Model Selection Modes

Traycer supports three different ways to select models:

1. Profile Mode (Default)

Use Balanced or Frontier as-is. Each step automatically uses its pre-configured model from the selected profile.

2. Custom Profile

Start from Balanced or Frontier, then override specific steps with different models:
  • Modify only the steps you want to change
  • Unmodified steps continue using the base profile’s models
  • Save your configuration as a reusable custom profile
  • Great for optimizing specific workflow patterns

3. Single Model

Select one model to use across all steps:
  • Simplest option—one model everywhere
  • Less optimized than profiles, but easier to reason about
  • Useful when you want consistent behavior or have a preferred model

Cost Calculator and Comparison

Use the interactive calculator below to compare profiles, switch between selection modes, and estimate credit usage for each step.

Where to Access Model Selection

Model selection controls are available throughout Traycer:
  • Task features: Configure models when creating tasks, generating plans, iterating, or running verifications
  • YOLO or Executions configuration: Define model behavior for autonomous features via the configuration modal