How to run Qwen3.6-35B-A3B locally — the coding MoE that beats models 10x its active size

📰 Dev.to AI

Run Qwen3.6-35B-A3B locally to leverage its Mixture-of-Experts architecture for efficient coding tasks, achieving big-model quality at small-model speed

advanced Published 16 Apr 2026
Action Steps
  1. Download the Qwen3.6-35B-A3B model from the official repository
  2. Configure the local environment to meet the model's requirements
  3. Run the model using the provided inference script
  4. Test the model on the SWE-bench Verified benchmark to evaluate its performance
  5. Compare the results with other models to assess its efficiency and accuracy
Who Needs to Know This

AI engineers and researchers can benefit from running Qwen3.6-35B-A3B locally to explore its capabilities and applications, while developers can utilize its efficient coding capabilities

Key Insight

💡 Qwen3.6-35B-A3B's Mixture-of-Experts architecture enables efficient coding tasks with 35 billion total parameters but only 3 billion active at inference time

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🚀 Run Qwen3.6-35B-A3B locally and experience big-model quality at small-model speed! 🤖
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