Open Source Llm Websites
DeepSeek Online - Try DeepSeek V3 Free | No Registration Required
Try DeepSeek Online for free! DeepSeek V3 is now available online with no registration. Experience the most powerful free AI model (671B parameters). Free for commercial use, open-source, and unlimited access.
Not Applicable
$
8.94
meraAi
Chat with meraAi, your intelligent assistant for coding, content creation, file reading, and more. Upload documents, engage in long-context conversations, and get expert help in AI, natural language processing, and beyond.
Not Applicable
$
8.94
DeepSeek - 探索未至之境
Chat with DeepSeek AI – your intelligent assistant for coding, content creation, file reading, and more. Upload documents, engage in long-context conversations, and get expert help in AI, natural language processing, and beyond. | 深度求索（DeepSeek）助力编程代码开发、创意写作、文件处理等任务，支持文件上传及长文本对话，随时为您提供高效的AI支持。
Not Applicable
$
8.94
DeepSeek - 探索未至之境
Chat with DeepSeek AI – your intelligent assistant for coding, content creation, file reading, and more. Upload documents, engage in long-context conversations, and get expert help in AI, natural language processing, and beyond. | 深度求索（DeepSeek）助力编程代码开发、创意写作、文件处理等任务，支持文件上传及长文本对话，随时为您提供高效的AI支持。
Not Applicable
$
8.94
Qwen3 Coder: The State-of-the-Art Open Source Code LLM
Explore Qwen3 Coder, Alibaba Cloud's advanced AI code generation model. Learn about its features, performance benchmarks, and how to use this powerful, open-source tool for development.
Not Applicable
$
8.94
GLM-4.5 - by Zhipu AI
GLM-4.5 is Zhipu AI's flagship open-source large language model with 355B parameters, MoE architecture, and advanced agentic capabilities. Download GLM-4.5 for commercial use with MIT license.
Not Applicable
$
8.94
LongCat Flash - Open Source LLM by Meituan
LongCat Flash: Meituan's 560B open-source LLM with ultra-fast 100+ tokens/sec inference, cost-effective deployment, and revolutionary MoE architecture.
Not Applicable
$
8.94
Nanochat - Full-Stack LLM Training Pipeline | Train LLMs for $100
Open-source LLM training framework by Andrej Karpathy. Minimal, hackable implementation covering tokenizer to SFT. Train a complete LLM in 4 hours for ~$100. Perfect for learning and research.
Not Applicable
$
8.94
