# Model Choice ## 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.** The `model_id` values shown below can be used when configuring models via the [Oz Platform](https://docs.warp.dev/agent-platform/cloud-agents/platform) or [CLI](https://docs.warp.dev/reference/cli). ### Auto models | Model | `model_id` | Description | | --------------------- | ---------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Auto (Responsive) | `auto` | Selects the highest-quality, fastest available model. May consume credits more quickly. | | Auto (Cost-efficient) | `auto-efficient` | Optimizes for lower credit consumption while maintaining strong output quality. | | Auto (Genius) | `auto-genius` | Adapts to task complexity and selects Warp's most capable model when it's worth it. Best for deep debugging, architecture decisions, and /plan-style sessions. | All Auto models perform well across all agent workflows and are ideal if you prefer Warp to manage model selection dynamically. #### OpenAI | Model | `model_id` | Reasoning Level | | ------------- | ---------------------- | --------------- | | GPT-5.4 | `gpt-5-4-low` | Low | | GPT-5.4 | `gpt-5-4-medium` | Medium | | GPT-5.4 | `gpt-5-4-high` | High | | GPT-5.4 | `gpt-5-4-xhigh` | Extra High | | GPT-5.3 Codex | `gpt-5-3-codex-low` | Low | | GPT-5.3 Codex | `gpt-5-3-codex-medium` | Medium | | GPT-5.3 Codex | `gpt-5-3-codex-high` | High | | GPT-5.3 Codex | `gpt-5-3-codex-xhigh` | Extra High | | GPT-5.2 Codex | `gpt-5-2-codex-low` | Low | | GPT-5.2 Codex | `gpt-5-2-codex-medium` | Medium | | GPT-5.2 Codex | `gpt-5-2-codex-high` | High | | GPT-5.2 Codex | `gpt-5-2-codex-xhigh` | Extra High | | GPT-5.2 | `gpt-5-2-low` | Low | | GPT-5.2 | `gpt-5-2-medium` | Medium | | GPT-5.2 | `gpt-5-2-high` | High | | GPT-5.2 | `gpt-5-2-xhigh` | Extra High | #### Anthropic | Model | `model_id` | Variant | | ----------------- | ---------------------------- | -------------- | | Claude Opus 4.6 | `claude-4-6-opus-high` | Default effort | | Claude Opus 4.6 | `claude-4-6-opus-max` | Max effort | | Claude Sonnet 4.6 | `claude-4-6-sonnet-high` | Default effort | | Claude Sonnet 4.6 | `claude-4-6-sonnet-max` | Max effort | | Claude Opus 4.5 | `claude-4-5-opus` | Thinking off | | Claude Opus 4.5 | `claude-4-5-opus-thinking` | Thinking on | | Claude Sonnet 4.5 | `claude-4-5-sonnet` | Thinking off | | Claude Sonnet 4.5 | `claude-4-5-sonnet-thinking` | Thinking on | | Claude Haiku 4.5 | `claude-4-5-haiku` | — | #### Google | Model | `model_id` | | -------------- | ---------------- | | Gemini 3.1 Pro | `gemini-3.1-pro` | #### Hosted models (via [Fireworks AI](https://fireworks.ai)) | Model | `model_id` | | --------- | -------------------- | | GLM 5 | `glm-5-fireworks` | | Kimi K2.5 | `kimi-k25-fireworks` | ### 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 dropdown showing available models with Intelligence, Speed, and Cost benchmarks

Model selector in Warp's 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. ### Model fallback Warp uses a model fallback system to ensure uninterrupted service if your selected model becomes temporarily unavailable due to provider outages or capacity issues. **How it works:** * If your selected model isn't available, Warp automatically uses a fallback model from a predefined chain to continue your conversation without errors. * As soon as your originally selected model becomes available again, Warp automatically switches back to it. * The fallback model is selected to provide comparable quality and capabilities to your original choice. ### Configuring models per Agent Profile You can configure the base model for each [Agent Profiles & Permissions](https://docs.warp.dev/agent-platform/capabilities/agent-profiles-permissions), defining the Agent's autonomy, tool access, and other permissions. The base model is also used for [Planning](https://docs.warp.dev/agent-platform/capabilities/planning). Edit your default profile or more profiles directly in **Settings** > **AI** > **Agents** > **Profiles**. ### 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 * Google * xAI * Fireworks AI * Baseten 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.