> For the complete documentation index, see [llms.txt](https://help.imagine.art/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.imagine.art/workflows/ai-models/text-models.md).

# Text Models

These models offer diverse options, from highly accurate text generation to fast, compact solutions for image and video tasks.

<table><thead><tr><th width="236.34375">Model Name</th><th width="676.546875">Use Cases</th></tr></thead><tbody><tr><td><strong>Gemini 3.0 Pro Preview</strong></td><td>Multimodal powerhouse for complex reasoning, creative text, image, and video generation.</td></tr><tr><td><strong>Gemini 2.5 Pro</strong></td><td>Google's model for deep text analysis, multi-step reasoning, and complex tasks.</td></tr><tr><td><strong>GPT-5.1</strong></td><td>OpenAI’s top-tier model for high-performance, problem-solving, and creative text tasks.</td></tr><tr><td><strong>GPT-5 Mini</strong></td><td>Optimized for fast response times, ideal for efficient, high-volume text generation.</td></tr><tr><td><strong>GPT-4o</strong></td><td>Omni model with speed and multimodal capabilities for text, voice, and video tasks.</td></tr><tr><td><strong>Claude Sonnet 4.5</strong></td><td>Balanced workhorse for content generation, analysis, and general-purpose text workflows.</td></tr><tr><td><strong>Grok 4</strong></td><td>Known for distinctive personality, real-time knowledge integration, and dialogue.</td></tr><tr><td><strong>GPT-5 Nano</strong></td><td>Small, efficient model for basic text processing, embedding, and simple tasks.</td></tr><tr><td><strong>GPT-4o Mini</strong></td><td>Fast, cost-effective model for multimodal, quick, simple text generation.</td></tr><tr><td><strong>Gemini 2.5 Flash</strong></td><td>Speed-optimized for high-quality multimodal tasks, ideal for large text content.</td></tr><tr><td><strong>Gemini 2.0 Flash</strong></td><td>Efficient model for common text tasks like blog posts, social media, and scripts.</td></tr><tr><td><strong>Gemini 2.5 Flash Lite</strong></td><td>Compact model for rapid, low-latency text responses in real-time applications.</td></tr><tr><td><strong>Claude Opus 4.1</strong></td><td>Ideal for complex reasoning, creative writing, and detailed content generation.</td></tr><tr><td><strong>Claude Haiku 4.5</strong></td><td>Fast, cost-effective model for quick, simple tasks like dialogue, captions, or summaries.</td></tr></tbody></table>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://help.imagine.art/workflows/ai-models/text-models.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.