---
title: Using Multiple Model Providers in LobeHub
description: >-
  Learn about the latest developments in LobeHub's support for multiple model
  providers, including currently supported providers, planned expansions, and
  how to use local models.
tags:
  - LobeHub
  - AI Chat Services
  - Model Providers
  - Multi-Model Support
  - Local Model Support
  - AWS Bedrock
  - Google AI
  - ChatGLM
  - Moonshot AI
  - 01 AI
  - Together AI
  - Ollama
---

# Using Multiple Model Providers in LobeHub

<Image alt={'Multi-Model Provider Support'} borderless cover src={'/blog/assets17870709/1148639c-2687-4a9c-9950-8ca8672f34b6.webp'} />

As LobeHub continues to evolve, we've come to deeply understand the importance of supporting a diverse range of model providers to meet the needs of our community. Rather than relying on a single provider, we've expanded our support to include multiple AI model services, offering users a richer and more versatile chat experience.

## Why Multi-Provider Support?

LobeHub's multi-provider architecture offers several key advantages:

- **Unified intelligence** — Access any model and any modality from a single interface
- **Cost optimization** — Switch between providers to optimize for performance and budget
- **Vendor independence** — Avoid lock-in and maintain service continuity if one provider has downtime
- **Flexibility** — Mix and match models for different agents and use cases
- **Local option** — Use Ollama or LM Studio for complete data privacy and no API costs

## Provider Categories

LobeHub integrates with 70+ AI model providers:

- **Major commercial** — OpenAI (GPT-4o, o1), Anthropic (Claude), Google (Gemini), Microsoft Azure OpenAI, AWS Bedrock
- **Inference platforms** — OpenRouter, Together AI, Groq, Fireworks AI, SambaNova
- **Chinese providers** — Zhipu, Moonshot, DeepSeek, Baichuan, Qwen (Alibaba), Wenxin (Baidu), Spark (iFlytek)
- **Local models** — Ollama, LM Studio (no API costs, complete privacy, offline capability)
- **Image generation** — DALL-E 3, fal.ai, BFL, ComfyUI

## Setting Up Providers

Each provider is configured in **Settings → Language Model**:

1. Select the provider from the list
2. Enter your API key (from the provider's developer console)
3. Optionally set a custom base URL if using a proxy or self-hosted endpoint
4. Save and select a model to start chatting

For environment variable configuration in self-hosted deployments, see the [model provider environment variables](/docs/self-hosting/environment-variables/model-provider) reference.

## Troubleshooting

**Connection error / API key invalid** — Double-check your API key for extra spaces. Ensure you're using the correct key type for the provider.

**Model not available** — The model may not be included in your account tier or may have been deprecated. Check the provider's model availability page.

**Rate limit errors** — You've hit the provider's request rate limit. Consider distributing requests across multiple providers, or upgrade your account tier.

## How to Use Model Providers

<ProviderCards locale={'en'} />
