Sulat.com
AI models
$10 off the fastest DeepSeek V4.1 Flash, Kimi K3 and GLM 5.3 from Synthetic
Umans AI Coding Plan logo

Model details

Qwen3.6 35B A3B

Qwen3.6-35B-A3B is a sparse mixture-of-experts language model designed with practical developer workflows at its core. Rather than activating all 35 billion parameters for every token, the architecture selectively engages only 3 billion parameters, making it far more efficient than comparable dense models while maintaining strong performance. The design emphasizes stability and real-world utility, drawing on direct community feedback to prioritize the interactions that matter most during coding sessions—repository-level reasoning, frontend workflow handling, and multi-step tool orchestration all receive particular attention in how the model was shaped.

The lineage builds on earlier Qwen3.5 generations, significantly surpassing the 35B-A3B predecessor and rivaling larger dense models like the 27B variant. This positioning reflects a deliberate engineering choice: achieve frontier-level coding benchmarks without the inference cost of fully dense architectures. The model supports both thinking and non-thinking modes and introduces a thinking preservation capability that retains reasoning context across message history, reducing friction during iterative development. Released under the Apache 2.0 license, it brings the kind of agentic coding power previously limited to proprietary frontier models to open-source adopters seeking production-grade capability without vendor lock-in.

Umans AI Coding Planumans-qwen3.6-35b-a3bqwen

Quick Info

Powered by
Provider
Umans AI Coding Plan
Model key
umans-qwen3.6-35b-a3b
Release date
Apr 17, 2026
Last updated
Apr 17, 2026
Input modalities
Output modalities
Capabilities

Cost

A provider subscription or plan supersedes token-based pricing for this model.

Limits

Output tokens
262,144 tokens
Context window
262,144 tokens

Latest news about Qwen3.6 35B A3B

Umans AI Coding Plan

CoverageBenchmark

An OpenVINO toolkit technical post published on OpenVINO Medium (dated Jul 21, 2026) explores running Qwen3.6-35B-A3B locally on an AI PC using OpenVINO GenAI on an Intel Core Ultra processor. The piece frames the model as a Mixture-of-Experts vision-language model with roughly 35B total parameters and only about 3B ac The article specifically targets the multimodal nature of Qwen3.6-35B-A3B, noting it can read an image, reason over its contents, and return actionable answers — a capability previously constrained to cloud APIs or datacenter GPUs. By combining MoE sparsity with INT4 quantization, the OpenVINO team demonstrates the mod

Umans AI Coding Plan

Coverage

On April 2, 2026, Alibaba's Qwen team open-sourced Qwen3.6-35B-A3B as the first open-weight variant of the Qwen3.6 generation, released under Apache 2.0 on Hugging Face alongside the proprietary Qwen3.6-Plus API model. The article frames the release with the tagline "Agentic Coding Power, Now Open to All," continuing t The architecture is a sparse MoE with 256 experts — 8 routed plus 1 shared activate per token — yielding 3B active parameters within a 40-layer stack that uses a repeating block of three Gated DeltaNet (linear attention) layers followed by one Gated Attention layer, each paired with an MoE feed-forward. Hidden dimensio

Videos about Qwen3.6 35B A3B

More models around Qwen3.6 35B A3B