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

# Supported Models

> Foundation models supported on the Decisional platform

| Model               | Provider   | Best for                                                                                                                                                                                                                                                                                                                    |
| ------------------- | ---------- | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `auto`              | Decisional | Automatically selects the most appropriate model based on query requirements                                                                                                                                                                                                                                                |
| `claude-4.5-sonnet` | Anthropic  | Conversational tasks, summarization, and natural language generation.- Scenarios requiring balanced performance and clarity.                                                                                                                                                                                                |
| `llama-v3-70b`      | Meta       | **Fastest** model with strong performance for high-volume queries.- Ideal for applications needing lower latency and an open-source foundation (hosted on Groq).                                                                                                                                                            |
| `llama-4-scout`     | Meta       | **Efficient** processing while maintaining strong performance - Ideal for deployments where resources are limited but quality can't be compromised.                                                                                                                                                                         |
| `llama-4-maverick`  | Meta       | **High-performance** model that outperforms GPT-4o and Gemini 2.0 on various benchmarks - Best for complex tasks requiring advanced capabilities with its 400B total parameters (17B active). Requires more than a single GPU.                                                                                              |
| `gemini-2.5`        | Google     | **Long context processing** with multimodal capabilities - Excels at handling complex reasoning tasks with a massive 1 million token context window (expanding to 2 million). Particularly strong at mathematical reasoning, scientific problem-solving, and advanced coding applications where deep reasoning is required. |
| `gpt-5.4`           | OpenAI     | **Deep** **reasoning** for highly complex workflows or queries.- when combined with advanced\_reasoning it will deliver the most thorough analysis.                                                                                                                                                                         |
| `claude-4.6-haiku`  | Anthropic  | **Lightweight**, cost-effective model for simpler queries.- Good for prototyping or quick interactions where complexity is minimal.                                                                                                                                                                                         |
| `gpt-4.1`           | OpenAI     | **Simple** tasks requiring basic language understanding.- Strong general-purpose performance                                                                                                                                                                                                                                |

Decisional offers multiple AI models with varying capabilities and performance profiles. You can rely on the default `auto` setting or explicitly choose a model to tailor performance, speed, and cost to your requirements.

### Default

* Let Decisional automatically choose the best-suited model based on your query. This is recommended if you’re unsure which model fits your use case or want a balanced approach without manually tuning.

### Warning

<Info>
  **Combining reasoning models with advanced reasoning:** `model = "gpt-5.4"`, `advanced_reasoning = true` Higher-level models with advanced reasoning can significantly slow down response times. Use this combo only when you need the deepest analysis possible.
</Info>

## Selecting a Model

You can specify which model to use when making a query by including the `model` parameter in your request:

**Query API Example**

```powershell theme={null}
curl -X POST https://api.getdecisional.ai/api/v1/knowledge-engines/{id}/query \
-H 'Authorization: Bearer YOUR_API_KEY' \
-H 'Content-Type: application/json' \
-d '{
  "query": "Complex analysis question?",
  "advanced_reasoning": true,
  "model": "llama-v3-70b"
}'
```

**Workflow API Example**

```powershell theme={null}
curl -X POST https://api.getdecisional.ai/api/v1/workflows \
-H 'Authorization: Bearer YOUR_API_KEY' \
-H 'Content-Type: application/json' \
-d '{
  "value": {
    "name": "Analysis Workflow",
    "query": "Comprehensive analysis of revenue growth over past 5 years?",
    "advanced_reasoning": true,
    "model": "gpt-5.4"
  }
}'
```