--- title: QWEN 3.5 Multichat emoji: 🚀 colorFrom: purple colorTo: purple sdk: gradio sdk_version: 6.8.0 app_file: app.py pinned: false short_description: Qwen3.5 official collection — 3 models hf_oauth: true --- # ✦ Qwen3.5 MultiChat — Multi-Model AI Chat with Thinking Mode & Vision > The world's most capable open-source LLM collection in one interface. Switch between 122B, 27B, and 35B models instantly. Think deeper. See further. Speak any language. --- ## What is Qwen3.5 MultiChat? **Qwen3.5 MultiChat** is a production-grade AI chat interface powered by Alibaba's official Qwen3.5 model collection. It lets you seamlessly switch between three state-of-the-art models — each optimized for different tasks — with real-time streaming, chain-of-thought reasoning, image understanding, and support for 201 languages. No API key needed. Log in with your Hugging Face account and start chatting in seconds. --- ## Models | Model | Type | Benchmark | Best For | |-------|------|-----------|----------| | **Qwen3.5-122B-A10B** | MoE · 10B active | BFCL 72.2 · GPQA 86.6 · SWE 72.0 | Complex reasoning, agents, math | | **Qwen3.5-27B** | Dense · 27B active | IFEval 95.0 · SWE 72.4 · PolyMATH 71.2 | Creative writing, coding, translation | | **Qwen3.5-35B-A3B** | MoE · 3B active | TAU2 81.2 · MMLU-Pro 85.3 | Fast responses, everyday tasks | --- ## Features - 🧠 **Thinking Mode** — Exposes the model's internal reasoning chain before answering. Best for math, logic, and complex multi-step problems. - 👁️ **Vision** — Upload any image and ask questions. All three models support multimodal input. - 🌏 **201 Languages** — Native multilingual support including Korean, Japanese, Arabic, and more. - 📄 **262K Context Window** — Feed entire documents, codebases, or long conversations without chunking. - ⚡ **Real-Time Streaming** — Token-by-token SSE streaming with live rendering. - 🔐 **HF OAuth** — One-click sign-in with your Hugging Face account. - 🎛️ **Full Parameter Control** — Adjust temperature, top-p, max tokens, and system prompt per session. --- ## Frequently Asked Questions **What makes Qwen3.5 different from other open-source LLMs?** Qwen3.5 achieves GPT-4-class performance on most benchmarks while being fully open-weight. The 122B MoE model uses only 10B active parameters per token, making it dramatically more efficient than comparable dense models. **What is Thinking Mode?** Thinking Mode instructs the model to generate an internal chain-of-thought before producing its final answer. This significantly improves accuracy on mathematical reasoning, logical inference, and multi-step problem solving — similar to OpenAI's o1/o3 reasoning models. **Is this free to use?** Yes. Sign in with a Hugging Face account to use the Inference API at no cost, subject to standard HF rate limits. **Which model should I choose?** Use **122B-A10B** for deep reasoning and agentic tasks. Use **27B** for writing, translation, and instruction following. Use **35B-A3B** when you need fast responses with low latency. **Can it analyze images?** All three models support vision input. Upload a screenshot, diagram, photo, or document scan and ask any question about it. **What languages does it support?** Qwen3.5 was trained on 201 languages. Performance is especially strong in English, Chinese, Korean, Japanese, French, German, Spanish, and Arabic. **How long can my input be?** Up to 262,144 tokens (~200,000 words). This is enough to fit most research papers, codebases, or book chapters in a single prompt. --- ## Tech Stack `Qwen3.5` · `Gradio 6` · `FastAPI` · `Hugging Face Inference API` · `HF OAuth 2.0` · `Server-Sent Events` · `Python 3.13` --- ## Hashtags #Qwen3 #Qwen35 #OpenSourceAI #LLM #AIChat #MultimodalAI #ThinkingAI #ReasoningAI #VisionLanguageModel #FreeAI #AIAssistant #ChatAI #HuggingFace #GenerativeAI #LargeLanguageModel #AIModel #SOTA #MixtureOfExperts #MoE #ChainOfThought #CoT #AIReasoning #NaturalLanguageProcessing #NLP #DeepLearning #OpenWeightModel #GINIGENAI #AIStartup #ProductionAI #StreamingAI #MultilingualAI ---
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