DeepSeek alternatives for running your own models

Run chosen models with Ollama, LM Studio or Jan instead of hosted DeepSeek chat. Compare a model API with desktop conversations and document questions.

DeepSeek's web chat provides an AI assistant for questions, writing and reasoning without asking you to set up a model runtime. The hosted conversation is separate from the downloadable models that developers can deploy themselves. A replacement can therefore mean a different chat app or a way to run a chosen model.

Ollama supplies a local runner and API for applications that need model access. LM Studio adds model downloads and document chat in a desktop interface. Jan focuses on everyday conversations and custom assistants. These DeepSeek alternatives replace the hosted chat workflow, rather than promising that every available model produces the same answers.

A local LLM app runs downloaded models for chat and agent tasks, with MLX and llama.cpp support and voice transcription processed on your device.

Screenshot of LM Studio website

LM Studio suits replacing the DeepSeek chat website with a desktop app that downloads and runs your chosen model. Ask about local documents or serve the model through its local API. Using a different model changes the answers rather than reproducing DeepSeek by default.

A free desktop ChatGPT alternative runs local models offline on Windows, macOS and Linux, or connects to cloud models such as GPT and Claude.

Screenshot of Jan website

Jan suits everyday DeepSeek-style questions and writing in a desktop chat app. Download a model, create custom assistants and run local replies offline; hosted model connections remain optional. It includes a local API for other apps.

A local LLM app that runs and trains models on macOS, Windows and Linux, with media generation and connections to coding agents.

Screenshot of Unsloth website

Unsloth combines model chat with a no-code training workspace. Build datasets from your files, fine-tune a chosen model and export it for use elsewhere, rather than limiting the workflow to conversations with a downloaded model.

An MIT-licensed local LLM runner and API for macOS, Windows, Linux and Docker, with optional cloud inference and coding agent integrations.

Screenshot of Ollama website

Ollama suits developers who need a model runner and local API rather than another hosted chat account. Connect it to your preferred chat interface or application.

A self-hosted AI chat interface that works offline with local models and connects to Ollama, OpenAI-compatible APIs and cloud providers.

Screenshot of Open WebUI website

Open WebUI gives a local model server a browser chat interface, including shared access controls. Pair it with Ollama or another compatible backend to use downloaded models instead of the DeepSeek chat website.

A local LLM desktop app runs GGUF models offline on Windows, macOS and Linux, with vision chat and OpenAI- and Anthropic-compatible APIs.

text-generation-webui suits DeepSeek users who want to run and compare models while keeping chat and file questions in one app. Branch conversations, switch local backends without restarting and attach documents. Its API also serves other applications; generation depends on the downloaded model.

An open-source desktop AI chat app for Windows, macOS and Linux that connects to local models through Ollama or LM Studio and to cloud providers.

Screenshot of Cherry Studio website

Cherry Studio lets you compare locally served models with DeepSeek and other hosted providers in one desktop app. It also supplies document questions and reusable assistants around those conversations.

An AI chat client that connects to local models through Ollama and cloud models with your API keys, available on desktop, mobile and the web.

Screenshot of Chatbox website

Chatbox is an option for keeping a familiar chat interface while choosing how the model runs. Connect Ollama for local inference, or bring a DeepSeek API key; the desktop knowledge base adds questions over your files.

A self-hosted AI chat platform connects local models and cloud APIs, with tool-using agents, conversation search and multi-user authentication.

Screenshot of LibreChat website

LibreChat suits moving DeepSeek conversations into a shared service with agents, files and searchable history. Use a local backend or switch among hosted providers, including compatible APIs. It supplies the conversation workspace rather than a DeepSeek model runtime.

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A self-hosted AI runtime that serves local models through an OpenAI-compatible API, with CPU-only support, voice tools and built-in agents.

Screenshot of LocalAI website

LocalAI provides a model gallery and web interface alongside compatible model APIs. It suits teams connecting existing AI apps to their own model server, with several inference backends and built-in agents available in the same runtime.

A local LLM runner splits models across macOS and Linux devices and provides OpenAI-, Claude- and Ollama-compatible APIs.

exo runs models such as DeepSeek across a cluster of your own devices and provides a browser dashboard for chat. Its compatible APIs let other apps use the same models, making it a specialist choice when one machine cannot hold the model.

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An open source LLM serving engine runs models on your hardware, with an OpenAI-compatible API and support for NVIDIA, AMD and CPU inference.

Screenshot of vLLM website

vLLM suits developers replacing hosted model API calls with a server for chosen models, including DeepSeek. Batching, prefix caching and compatible endpoints support concurrent requests; this is a model-serving workflow rather than a consumer chat app.

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For DeepSeek, start with LM Studio. Other alternatives include Jan, Unsloth, Ollama and Open WebUI.

Most are Local Model Runners; others include Desktop Chat Apps.

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