Qwen 35B-A3B MoE vs 27B Dense: Performance Insights for Coders

Qwen 35B-A3B MoE outperforms Qwen 27B dense in speed, generating code nearly four times faster with a smaller quality gap than expected. Ideal for developers needing efficiency in coding tasks.

What happened

In a recent comparison, the Qwen 35B-A3B MoE model was tested against the Qwen 27B dense model on local coding tasks. The original report indicates that the MoE model achieved approximately 3.9 times faster token generation, clocking in at around 116 tokens per second compared to 30 tokens per second for the dense model.

Despite the speed advantage, the difference in coding quality was less pronounced than anticipated. Both models effectively handled routine bug fixes and multi-file changes, although the dense model showed some advantages in more complex scenarios.

Why it matters for builders

For developers, the choice between Qwen 35B-A3B MoE and Qwen 27B dense can significantly impact productivity. The speed of the MoE model allows for quicker iterations, which is crucial in fast-paced development environments.

The details

• Speed: Qwen 35B-A3B MoE generates tokens at ~116 tok/s, significantly faster than Qwen 27B dense at ~30 tok/s.
• Quality: Both models perform well on basic coding tasks, with minor differences in handling complex edge cases.
• Hardware compatibility: Tested on a Radeon AI PRO R9700 and Ryzen 9 5950X setup, indicating decent performance on high-end consumer hardware.
• Context size: Supports an 8K context for coding tasks, which is beneficial for handling larger codebases.
• Versioning: Qwen 35B-A3B is part of the latest Qwen 3.6 series, suggesting ongoing improvements in AI model performance.

In comparison, other models in the market may not match the speed of Qwen 35B-A3B MoE, but could excel in specific task-oriented scenarios.

The catch

While the Qwen 35B-A3B MoE model offers enhanced speed, it does have limitations. It may struggle with implicit invariants and unusual edge cases compared to the dense model. Developers should consider these factors when choosing which model to implement in their workflow.

The bottom line

The Qwen 35B-A3B MoE model is a compelling choice for developers prioritizing speed without sacrificing much quality. Its performance in coding tasks suggests it can significantly enhance productivity, making it worth considering as a tool in your development arsenal.

FAQ

What is the main advantage of Qwen 35B-A3B MoE?

The primary advantage of Qwen 35B-A3B MoE is its speed, generating code nearly four times faster than the Qwen 27B dense model, which can enhance productivity for developers.

How does Qwen 35B-A3B MoE compare to other coding AI models?

Qwen 35B-A3B MoE offers superior speed compared to many other coding AI models, although some alternatives may perform better in handling complex edge cases.

Source: reddit.com