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Qwen3.6-35B-A3B: Agentic coding power, now open to all (qwen.ai)

1274 points by cmitsakis · 90 days ago · 532 comments on HN

Article summary

The Qwen team has released Qwen3.6-35B-A3B, a new model in the Qwen 3.6 series, with open weights available. This model is intended as a superior replacement for the previous Qwen3.5-27B model. The new model delivers outstanding agentic coding performance, rivaling larger dense models. The release of this model is seen as a continuation of the Qwen team's efforts to provide open weights for their models.

Main themes

  • Qwen model release
  • Open weights
  • Model performance
  • Agentic coding
  • Compute requirements

What commenters say

  • The new Qwen3.6-35B-A3B model is a significant improvement over the previous Qwen3.5-27B model, but its performance may not surpass that of larger dense models in all benchmarks.
  • The release of open weights for the Qwen3.6 series is a positive development, allowing for greater freedom and flexibility in using the models.
  • Running large models like Qwen3.6-35B-A3B requires significant computational resources, but some users are able to run them on their own hardware, while others may need to rely on third-party providers.
  • The cost of running large models locally can be prohibitively expensive for individual users, but may be within the budget of small companies or organizations.
  • The Qwen team's decision to release open weights for their models is seen as a continuation of their efforts to provide accessible and flexible AI solutions.
  • Some users are skeptical about the benefits of running large models locally, citing the potential for cloud-based solutions to be more cost-effective and efficient.
  • The development of more full-featured software for local AI deployment is needed to make it more accessible and user-friendly for a wider range of users.
  • The ability to run large models locally can provide benefits such as increased privacy and control, as well as the ability to refine models for specific use cases.