Chatbots

Models 9

• Gen 7LFM
  LFM2.5 1.2B

  By Liquid AI

  LFM2.5-1.2B is Liquid AI’s 1.2B hybrid edge model for on-device chat and tools, trained on 28T tokens and RL, running under 1 GB of RAM while rivaling much larger LLMs on reasoning and agentic tasks.

  💬Chatting💻Coding🤖Chatbots🚀Productivity
  Text

  Released 4mo ago
• Gen 3 GPT
  GPT 5.2 Instant

  By OpenAI

  GPT-5.2 Instant is the fast, lower-latency member of the 5.2 family, built for everyday Q&A, how-tos, research and writing where quick answers matter more than maximum depth of reasoning.

  📝Writing🤖ChatGPT🤖Chatbots💬Chatting
  Multimodal

  Released 5mo ago
• Gen 7
  nanochat

  By Andrej Karpathy

  Nanochat is Andrej Karpathy’s tiny end-to-end chat assistant project. It shows how to build a small Transformer chatbot from scratch with simple training, inference, and a minimal UI, meant for learning and quick experimentation.

  🤖Chatbots💬Chatting
  Text

  Released 7mo ago
• Gen 3 Mistral
  Magistral Small 1.2

  By Mistral AI

  Magistral Small 1.2 is Mistral AI’s compact reasoning model, optimized for efficiency and cost-sensitive deployments. With strong instruction following, reliable reasoning, and structured JSON outputs, it’s suited for lightweight copilots, chat assistants, and automation workflows where speed and affordability are key.

  💬Chatting📞Customer support🤖Chatbots
  Text

  Released 8mo ago
• Gen 7 Ling
  Ling mini 2.0

  By AntGroup

  Ling-mini-2.0 is a compact multilingual instruction model tuned for speed, cost efficiency, and dependable reasoning. It supports long context, tool and function calling, and clean JSON outputs, making it a solid fit for everyday copilots, chatbots, and lightweight automation.

  💻Coding📚Summaries🤖Chatbots🎥Videos
  Text

  Released 8mo ago
• Gen 7LongCat
  LongCat Flash Chat

  By Meituan

  Chat-oriented LongCat-Flash variant, a 560B MoE language model with around 27B parameters active per token, tuned as a fast, non-thinking foundation for general and agentic tasks.

  💬Chatting🤖Chatbots🚀Productivity
  Text

  Released 9mo ago
• Gen 7 Kanana
  Kanana Nano

  By Naver

  Kanana Nano 2.1B is the smallest model in Kakao’s Kanana family—built on 2.1 billion parameters. It’s designed for lightweight assistants, chatbots, and mobile/edge use cases where speed, cost, and efficiency matter most.

  🤖Chatbots📞Customer support💬Chatting💼Personal assistant
  Text

  Released 1y ago
• Gen 7 Phi
  Phi Silica

  By Microsoft

  Phi Silica is Microsoft’s on-device small language model (~3.3B params) built to run locally on Copilot+ PC NPUs. It’s pre-tuned, 4-bit–quantized, streams fast (≈230 ms first token, up to ~20 tok/s), and currently offers a 2K context (with 4K coming). Available to developers via the Windows App SDK’s Phi Silica APIs.

  💬Chatting💻Coding🤖Chatbots
  Text

  Released 2y ago
• Gen 7Groq Meta
  Groq Llama

  By Groq

  Groq Llama is Meta’s Llama family served on Groq hardware, giving Llama-quality outputs with very low latency.

  💻Coding🤣Memes🤖ChatGPT🤖Chatbots
  Text

  Released 2y ago