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Qwen3.5 35B A3B

Qwen3.5‑35B‑A3B is a 35B (3B active) sparse‑MoE multimodal model from Alibaba that offers 262k–1M context, strong reasoning and vision performance, and Apache‑2.0 open weights tuned for efficient single‑GPU deployment.
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How to Get Started

Step 1

Sign Up and get your Api Key and use with UNLIMITED tokens for 30 days.

Step 2

Paste the URL from Huggingface repository. (Ex: https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4)

Step 3

Choose the GPU machine to deploy.

That’s all! You’re ready to use the model in few minutes without infrastructure complexity in few minutes.

Benchmark Results

Applications & Use Cases

  • Multimodal chat assistants that combine strong language, coding, and visual reasoning for customer support, analytics, and internal copilots.
  • Long‑context RAG systems over technical documentation, codebases, and mixed text‑image corpora, exploiting the 262k–1M context window for cross‑document reasoning.
  • Coding and agentic copilots that use the 3B‑active MoE efficiency plus tool calling to drive complex software, data, and operations workflows.
  • Evaluation and teacher models for distillation, where Qwen3.5‑35B‑A3B’s high MMLU‑Pro, GPQA Diamond, and SWE‑bench scores provide a strong open reference.
  • Single‑GPU or cost‑sensitive deployments (for example 8–16 GB with quantization) that still target near‑frontier performance in multilingual, multimodal application