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Qwen3.6‑35B
A 35B parameter MoE model (3B active) optimized for agentic coding, multimodal tasks, and 1M+ token contexts with performance on par with larger LLMs.
About Qwen3.6‑35B
What the tool does and who it's for
Qwen3.6‑35B is a sophisticated 35-billion-parameter Mixture-of-Experts (MoE) model designed for high-efficiency performance. By activating only 3 billion parameters during inference, it delivers coding, vision, and reasoning capabilities comparable to much larger dense models. It is specifically optimized for agentic coding workflows, multimodal perception, and extremely long context windows, supporting up to over one million tokens. The model is part of the Qwen series and is accessible via open platforms like Hugging Face.
Key capabilities
Pricing
Free — plans below
Free
$0
- Open-source access via Hugging Face
- Multimodal capabilities
- 1M+ token context window
- Agentic coding optimization
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