InclusionAI

A health and medicine focused mixture of experts language model with 124B total parameters and 5.1B active per token, built on Ling 3.0 Flash. Emphasizes medical knowledge reasoning, clinical safety, and evidence based…

• 🏥 Healthcare
• 🔍 Information retrieval
• 💻 Coding
• 🔬 Medical research New

InclusionAI’s compact Mixture-of-Experts language model for responsive agents, instruction following, multi-turn conversation, and switchable thinking or instant response modes.

• 🤖 Agents
• 🤖 Chatbots
• 🔍 Conversational queries New

A 124B-parameter Mixture-of-Experts language model with about 5.1B parameters activated per token. It is built for token efficiency and production-scale agentic inference, supporting a 262K token context window for text…

• 💬 Chatting
• 🤖 Task automation
• 🔎 Problem solving
• 💻 Coding
• 📝 Writing assistance New

Trillion-parameter “thinking” model described as using a hybrid linear attention architecture for long-horizon reasoning and exploration.

• 📷 Images

Ming-flash-omni 2.0 is an open sparse MoE omni-modal model that unifies text, image, video and audio understanding and generation, using a Ling-2.0 Mixture-of-Experts backbone with 100B parameters and about 6B active pe…

• 🖼️ Image generation
• 🎵 Music
• 📷 Images
• 🎥 Videos

LLaDA2.X is InclusionAI’s diffusion language model family, scaling to 100B parameters and using parallel decoding to deliver fast, high-quality text generation and code with up to 500+ tokens per second.

• 📝 Writing
• 🔍 SEO content
• 💻 Coding

An end-to-end multimodal assistant that reads text, images, audio, and video, then replies with text or natural speech in real time. It supports tool calling, long context, and grounded answers.

• 💬 Chatting
• 🤖 Task automation
• 💻 Coding
• 🗒 Transcription