---
title: 50+ New Models and 10+ Providers Added to the Ecosystem
description: >-
  LobeHub expands its AI ecosystem with 50+ new models and 10+ providers, making
  it easier to access diverse AI capabilities without changing your workflow.
tags:
  - LobeHub
  - Model Providers
  - Chain of Thought
---

# 50+ New Models and 10+ Providers Added to the Ecosystem

LobeHub completed its largest AI ecosystem expansion this February. The goal is straightforward: give you access to more capable models across more providers without breaking your existing workflow or requiring new setup steps.

## Expanded provider and reasoning coverage

This release adds 10+ mainstream providers spanning global and domestic platforms. You can now connect to a wider range of services directly from your existing LobeHub setup.

DeepSeek R1 is now fully supported, and reasoning-model compatibility has expanded to include Claude 3.7 Sonnet and OpenAI o3-mini. These models display their chain-of-thought in real time, so you can follow how conclusions are reached. DeepSeek R1 parsing is consistent across providers, making reasoning output easier to read in daily use.

## Rebuilt search capabilities

Online search has been upgraded with SearchXNG and Perplexity integration, plus support for deep web crawling. Gemini 2.0 and Qwen series models can now use native search as part of their reasoning process.

Use these updates to:

- Research topics with live web results directly in chat
- Compare how different providers handle the same search query
- Access deeper content extraction without leaving the conversation

## Model library refresh

This release updates 50+ model configurations to keep your options current:

- OpenAI: gpt-4.5-preview
- Anthropic: Claude 3.7 Sonnet, Haiku 3.5
- Google: Gemini 2.0 series improvements
- Domestic providers: Moonshot, Tongyi Qwen, MiniMax latest models
- Additional platforms: Perplexity, Cloudflare, SiliconFlow refreshes

## Improvements and fixes

- Fixed reasoning display inconsistencies across model providers
- Improved search result formatting for better readability
- Enhanced model parameter synchronization across providers

## Credits

Huge thanks to these contributors:

@AmAzing129 @hezhijie0327 @arvinxx @lobehub-team
