Qwen3.6-35B-A3B Boosts Agent Programming: 3B Activation Beats Gemma4-31B

Recently the mid‑size Qwen3.6‑35B‑A3B model was open‑sourced. Although it activates only 3 B parameters, it surpasses the previous‑generation Qwen3.5‑35B‑A3B and the newly released Gemma4‑31B on several key programming benchmarks.

On the authoritative tests Terminal‑Bench2.0 (terminal programming), NL2Repo (long‑range code generation), and QwenClawBench (real‑world agent capability), Qwen3.6‑35B‑A3B consistently outperforms both Qwen3.5‑35B‑A3B and Gemma4‑26B‑A4B / Gemma4‑31B, demonstrating a clear advantage in agent‑driven coding tasks.

As a Mixture‑of‑Experts (MoE) model with only 3 B activation parameters, it delivers substantial gains in agent programming, multimodal perception, and reasoning. The authors highlight two concrete improvements: (1) smoother, more accurate handling of front‑end development workflows and repository‑level code inference; (2) a new “thought‑process retention” option that preserves reasoning context across messages, simplifying iterative development and reducing overhead.

To let developers quickly try the model, HyperAI has launched a low‑threshold notebook. The environment is pre‑configured, and the model can be deployed online via the link https://go.hyper.ai/RXils . Additional tutorials are listed at https://go.hyper.ai/sC4nC .

Running the tutorial involves four steps:

Visit the HyperAI homepage, select the “Tutorial” page, choose “Qwen3.6‑35B‑A3B Intelligent Agent Programming”, and click “Run this tutorial”.

On the redirected page, click the top‑right “Clone” button to copy the tutorial repository into your container.

Select the “NVIDIA RTX 5090‑4” GPU and the “vLLM” image, then press “Continue job execution”.

Wait for the job to start; once the status shows “Running”, click “Open Workspace” to enter the Jupyter environment.

HyperAI also offers a compute‑gift package: new users can obtain 20 hours of RTX 5090 compute for $1 (original price $7), with the credit remaining permanently.

The tutorial demonstrates an interactive gravity‑sandbox demo generated from a prompt, illustrated by several screenshots showing the notebook execution, workspace launch, and final demo UI.