Together Chat
Together Chat is a next-generation consumer app designed to let you interact seamlessly with today's most popular open-source models, including free access to DeepSeek R1, securely hosted in the North America.
Cost / License
- Free
- Proprietary
Application types
Platforms
- Online
- Software as a Service (SaaS)
Features
- Ad-free
- Text to Image Generation
- Syntax Highlighting
- AI Chatbot
- AI-Powered
- AI Writing
- Progressive Web App
Tags
- qwen-2-5
- ai-search-engine
- qwen2
- llama
- AI-Based Search
- deepseek-r1
- flux-ai
- llama-3
- AI Assistant
Together Chat News & Activities
Recent News
- POX published news article about Together Chat
Together Chat lets you to use DeepSeek & other AI models for free, hosted in North AmericaTogether AI has launched Together Chat, an AI chatbot that leverages the DeepSeek R1 model, hosted ...
Recent activities
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What is Together Chat?
Together Chat is a next-generation consumer app designed to let you interact seamlessly with today's most popular open-source models, including free access to DeepSeek R1, securely hosted in the North America.
Whether you're brainstorming ideas, drafting code, doing research with the web, generating images, or exploring creative writing, Together Chat puts cutting-edge open-source AI at your fingertips.
Here’s a list of some of the models that we support:
- DeepSeek R1 with web access for difficult questions
- Llama 3.3 70B / Qwen 2.5 72B for intermediate questions
- Qwen Coder 32B for coding questions
- Flux Schnell for image generation
Together Chat information
Developed by
Together AI Licensing
Proprietary and Free product.Alternatives
102 alternatives listedSupported Languages
- English
Comments and Reviews
Privacy aside, to be able to use a version of DeepSeek R1 hosted in the North America with web search capability... it works as advertised.
Running an LLM on a remote server doesn’t guarantee true privacy. Sure, it’s possible- but it requires a well-thought-out approach and strict discipline. Even one minor oversight can compromise everything.
You cannot really use LLM privately if they are on a remote server. I mean you can but it takes some preparation and careful methodology that can all be ruined by a single small mistake.