> ## Documentation Index
> Fetch the complete documentation index at: https://docs.omnifact.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Model Guide

> Choose the right AI model for your task across Base, Standard, and Premium tiers.

Omnifact supports multiple model families from top providers like OpenAI, Anthropic, Google, and Mistral. The "best" model isn't always the most powerful one—it depends on your specific task, speed requirements, and hosting preferences.

You can switch models directly in the chat interface at any time to find the one that works best for your current needs.

## How to switch models

You can select the AI model before you send a message or at any point during a conversation using the model selector in the chat header. You can also switch models using the model selector in the chat input area. See [Selecting an AI Model](/en/platform/core-features/chats/model-selection) for more details.

For details on which models are available to your team, see [Model Management](/en/platform/team-administration/models).

## Model Tiers & Access

Models in Omnifact are categorized into three access tiers. Your ability to use certain models depends on the permissions assigned to your user group by your team administrator. For full details on managing these permissions, see [Model Management](/en/platform/team-administration/models#model-tiers).

Choose your model based on your task's requirements and your access tier:

### Premium Tier

**Best for:** Complex reasoning, advanced coding architecture, nuanced analysis, and multi-step problem solving.
*These models are significantly more expensive than standard tier models, and access is managed via group permissions.*

<CardGroup cols={2}>
  <Card title="GPT-5.6 Sol">
    OpenAI's most capable model for highly complex reasoning.
  </Card>

  <Card title="Claude Opus 4.8">
    Anthropic's highest capability tier for complex reasoning.
  </Card>

  <Card title="o3">
    Reasoning-focused models that "think" before responding.
  </Card>

  <Card title="Gemini 3.5 Flash">
    Google's top-tier model with strong reasoning capabilities across modalities.
  </Card>
</CardGroup>

### Standard Tier

**Best for:** Complex writing, everyday coding, balanced performance, and high-quality output.
*Access to these models is managed via group permissions.*

<CardGroup cols={2}>
  <Card title="GPT-5.6 Terra">
    OpenAI's highly capable model offering a balance of performance and speed.
  </Card>

  <Card title="Claude Sonnet 5">
    Anthropic's balanced model, excellent for writing and coding tasks.
  </Card>

  <Card title="o3-mini">
    Next-generation efficient reasoning models.
  </Card>

  <Card title="Mistral Large">
    Mistral's highly capable model, offering strong performance and EU hosting options.
  </Card>
</CardGroup>

### Base Tier

**Best for:** Quick questions, summaries, simple tasks, and speed.
*Available to all users by default.*

<CardGroup cols={2}>
  <Card title="GPT-5.6 Luna">
    Fast and cost-effective for everyday tasks.
  </Card>

  <Card title="Claude Haiku 4.5">
    Extremely fast and efficient, great for simple queries.
  </Card>

  <Card title="Gemini 3.1 Flash Lite">
    Optimized for high speed and low latency.
  </Card>

  <Card title="Mistral Small">
    A capable small model for general use.
  </Card>
</CardGroup>

### Image Generation

**Best for:** Creating visual assets from text descriptions.

Your team administrator enables image models and sets the default in **Team Settings** > **Models**. The chat model selector does not switch image generation models.

#### OpenAI Models

<CardGroup cols={2}>
  <Card title="GPT-Image-2">
    OpenAI's latest model for fast, high-quality generation and editing. The default when OpenAI is configured.
  </Card>

  <Card title="GPT-Image-1.5">
    Strong prompt adherence and image quality for polished creative work.
  </Card>

  <Card title="GPT-Image-1">
    High-fidelity general-purpose image generation.
  </Card>

  <Card title="GPT-Image-1 Mini">
    Cost-effective option balancing speed and quality for everyday visuals.
  </Card>
</CardGroup>

#### Google Models (Nano Banana)

<CardGroup cols={2}>
  <Card title="Nano Banana 2">
    Fast and efficient model for quick iterations and responsive creative workflows.
  </Card>

  <Card title="Nano Banana Pro">
    Advanced model for richer compositions and more demanding creative tasks.
  </Card>

  <Card title="Nano Banana">
    Balanced speed and quality for general-purpose image generation.
  </Card>
</CardGroup>

<Accordion title="Legacy Models">
  Some older models may still appear in your workspace for compatibility. For new work, prefer the newer GPT-5, Claude 4, Gemini 2.5/3, and Mistral models.
</Accordion>

## Strategy: Combining Models

You don't have to stick to one model for an entire conversation. A powerful workflow involves combining models:

1. **Draft with Speed:** Use a Base tier model like **GPT-5 mini** or **Claude 4.5 Haiku** to create outlines, brainstorm ideas, or draft initial text. This is quick and saves quota.
2. **Refine with Quality:** Switch to a Standard tier model like **GPT-5.2** or **Claude 4.6 Sonnet** to rewrite, polish, or critique the work.
3. **Solve Hard Problems with Reasoning:** If you hit a logic blocker, switch to a Premium tier model like **o3** or **Claude 4.6 Opus** to work through the specific problem, then switch back.

<Tip>
  **Common Pitfall:** Many users stick to the default model for everything. While capable, you might be using "sledgehammer" models for simple tasks (wasting quota/speed) or struggling with complex tasks that a reasoning model could solve easily.
</Tip>

## How to read model names

Model names often follow patterns that hint at their capability and speed.

| Pattern           | Meaning                  | Examples                           |
| :---------------- | :----------------------- | :--------------------------------- |
| **Mini / Nano**   | Faster, cheaper, lighter | GPT-5 mini, GPT-5 nano             |
| **Flash / Haiku** | Speed and efficiency     | Gemini 2.5 Flash, Claude 4.5 Haiku |
| **Pro / Sonnet**  | Mainline capable models  | Gemini 2.5 Pro, Claude 4.6 Sonnet  |
| **Opus**          | Highest capability tier  | Claude 4.6 Opus                    |
| **o3 / o4**       | Reasoning-focused models | o3, o3-mini, o4-mini               |

<Note>
  While "4o" in GPT-4o typically indicated a premium omnichannel model, naming conventions can vary by provider. Always check the model description if unsure.
</Note>

## Model Hosting, Privacy, and Compliance

<Info>
  **The Privacy Filter protects you regardless of the model.**

  Omnifact's Privacy Filter adds a layer of protection to every interaction, masking sensitive data before it reaches any model, regardless of where that model is hosted.
</Info>

When choosing a model, consider your data residency requirements:

* **EU-hosted by default**: Azure OpenAI, Mistral AI
* **US-hosted**: OpenAI, Anthropic, Google
* **Custom providers**: Hosting depends on your specific workspace configuration (e.g., Google Vertex AI, Anthropic via Vertex AI, AWS Bedrock, or other Custom providers).

In the model picker, look for the hosting-region indicator flag to confirm where a model is processed.

### Image Generation Restrictions

When the **Privacy Filter** is enabled, image generation may be restricted to specific models or providers that comply with your organization's data privacy standards (often requiring EU hosting). If you cannot select certain image models, this compliance setting is likely active.