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

# LLM Providers

> A comprehensive guide to selecting and using LLM providers in Hymalaia.

Hymalaia is designed to be model-agnostic, giving you the flexibility to select the Language Model (LLM) that best suits your needs. This means you're not tied to a single provider and can mix and match models based on the strengths required for each task.

## Model Overview

Hymalaia supports integration with leading LLM providers, with a strong focus on **OpenAI** and **Anthropic** models.

### OpenAI Models

#### GPT-3.5-Turbo

* **Strengths:** High speed, reliable quality for general tasks
* **Best for:** Quick queries, general information retrieval
* **Knowledge cutoff:** September 2021

#### GPT-4

* **Strengths:** Superior reasoning, creative output, accurate code generation
* **Best for:** Complex analysis, creative tasks, code-heavy scenarios
* **Knowledge cutoff:** April 2023
* **Note:** Capable of image analysis

### Anthropic Models

#### Claude-3 Opus

* **Strengths:** Exceptional reasoning and analysis
* **Best for:** Complex problem-solving, long-form content
* **Note:** High accuracy, may have slower response times

#### Claude-3 Sonnet

* **Strengths:** Balanced performance and speed
* **Best for:** General-purpose tasks requiring both quality and efficiency

#### Claude 3.5 Sonnet

* **Strengths:** Enhanced capabilities over Sonnet
* **Best for:** Advanced general-purpose tasks
* **Recommended:** Ideal balance of quality and performance for most use cases

#### Claude-3 Haiku

* **Strengths:** Fast and lightweight
* **Best for:** Simpler tasks, real-time responsiveness
* **Note:** Optimized for speed with trade-offs in complexity

## Custom Providers

Hymalaia supports custom LLMs via the [LiteLLM](https://docs.litellm.ai/docs/providers) provider list. You can integrate specialized or internal models to align with your organization's privacy, cost, or domain-specific needs.

## Choosing the Right Model

| Factor              | Recommendation                                                      |
| ------------------- | ------------------------------------------------------------------- |
| **Task Complexity** | Use GPT-4 or Claude-3 Opus for heavy reasoning or complex requests  |
| **Speed**           | Use GPT-3.5-Turbo or Claude-3 Haiku for fast, lightweight queries   |
| **Cost**            | Consider cheaper models for high-volume use cases                   |
| **Privacy**         | Self-host models like Llama 2 if data privacy is critical           |
| **Specialization**  | Evaluate model strengths for tasks like coding, writing, or support |

> 💡 **Tip:** For most use cases, **Claude 3.5 Sonnet** is recommended due to its optimal balance of power and performance.

## Leveraging Model Flexibility

* **Experiment:** Compare models on real queries to assess response quality.
* **Monitor:** Use Hymalaia analytics to understand which models perform best.
* **Stay Updated:** Watch for LLM version updates and improvements.
* **Integrate Custom Models:** Utilize LiteLLM to plug in your own model APIs.

***

By choosing the right model and leveraging Hymalaia's flexible architecture, you can fine-tune your AI capabilities to meet any business or technical challenge.