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Qwen3.6-35B-A3B
Model family: qwen3-6
The Qwen3.6 open MoEA model architecture that splits the model into many smaller specialized "expert" networks, only activating a handful per input rather than running the whole model every time. The practical effect: you get the knowledge capacity of a big model with the compute cost of a much smaller one. Mistral Large 3 and Mistral Small 4 are both MoE models. (35B-A3B) — the efficient sibling of the dense 3.6-27B, Apache 2.0, single-GPUThe specialized chip that runs most AI models. Originally designed for 3D graphics, GPUs turned out to be excellent at the math AI requires. Nvidia dominates the AI GPU market; common datacenter models include the H100, H200, and B200. Running an AI model without a GPU is possible but painfully slow for anything but the smallest models.-friendly.
Identity
- Creator
- Qwen
- Model family
- qwen3-6
- Release date
- 2026-04-15
Technical specs
- Parameter count
- 35B
- Context window
- 262K tokens
- Modalities
- Text
- Primary capabilities
- Chat
- Coding
- Instruction Following
- Long Context
- Multilingual
- Reasoning
- Tool Use
License
- License
- Apache License 2.0
- Commercial use
- Allowed
- Terms
- Modification ✓
- Redistribution ✓
- Attribution ✓
Access
- Openness
- Open Weight
- Access methods
- Api Third Party
- Local Runtime Ollama
- Local Runtime Vllm
- Weights Download Hf
- Cost tier
- Mixed
- llm
- open-weight
- commercial-friendly
- mid-size
- long-context
- self-hostable
- china-based
- apache-2-0
- mixture-of-experts