Model Choice

Choose from a curated set of top LLMs for Warp's Agents (or let Warp auto-select the best model).

Available models

Warp lets you choose from a curated set of Large Language Models (LLMs) to power your Agentic Development Environment.

Warp supports the following models:

• OpenAI: GPT-5 and GPT-5.1 (select between low, medium, and high reasoning modes)

• Anthropic: Claude Sonnet 4.5, Claude Opus 4.1, Claude Haiku 4.5 , Claude Sonnet 4

• Google: Gemini 3 Pro, Gemini 2.5 Pro

• z.ai: GLM 4.6 (hosted in the US, by Fireworks AI)

Auto Models

Warp also offers two Auto modes that intelligently select the best model for your task based on the context and request type:

1. Auto (Cost-efficient): Optimizes for lower credit consumption while maintaining strong output quality, helping extend your available usage.

2. Auto (Responsiveness): Prioritizes the highest-quality results using the fastest available model, though it may consume credits more quickly.

Both Auto models perform well across all agent workflows and are ideal if you prefer Warp to manage model selection dynamically.

How to change models

You can use the model picker in your prompt input to quickly switch between models. The currently active model appears directly in the input editor.

Model selector in Warp's Universal Input.

To change models, click the displayed model name (for example, Claude Sonnet 4.5) to open a dropdown with all supported options. Your selection will automatically persist for future prompts.

Configuring models per Agent Profile

You can configure the base and planning models for each Agent Profiles & Permissions, defining the Agent’s autonomy, tool access, and other permissions.

Edit your default profile or more profiles directly in Settings > AI > Agents > Profiles.

Model choice example, where the base model is Auto (Claude 4 Sonnet) and the planning model is o3.

Zero Data Retention Policies

Warp integrates with multiple Large Language Model (LLM) providers to power its AI-driven features.

These providers include, but are not limited to:

• OpenAI

• Anthropic

• OpenAI

• Google

• Fireworks AI

Warp has executed Zero Data Retention (ZDR) agreements with these providers. This means that, by default across all plans:

• LLM providers commit not to train their models on any customer-generated data processed through Warp’s services.

• LLM providers commit to delete inputs and outputs after generating the relevant output, within a fixed time period.

Warp enforces these commitments through both technical measures and contractual safeguards with the LLM providers.