Qwen 3.5 MoE (35B/3B active)
MoE gem — only 3B params active at inference. 19x faster than Qwen3-Max at 256K context. Best quality-per-watt of the series. Hybrid thinking mode. Runs on Mac Studio 32GB. Agentic coding standout.
Can Qwen 3.5 MoE (35B/3B active) run locally?
Qwen 3.5 MoE (35B/3B active) is best suited for power-user machines with 32 GB RAM. LocalClaw recommends Q4_K_M as the default quantization, with at least 24 GB RAM.
Search term for LM Studio or compatible runtimes: qwen3.5-35b-a3b
Hugging Face repository: bartowski/Qwen_Qwen3.5-35B-A3B-GGUF
Strengths
- 🔥 Only 3B params active at inference — 19× faster than Qwen3-Max
- 256K context window for enormous documents
- Hybrid thinking mode (thinking ON/OFF on demand)
- Outstanding agentic coding — gamechanger for autonomous agents
- Runs on Mac Studio 32GB with ~20-24GB RAM
- Apache 2.0 fully open-source
Limitations
- Needs 24GB RAM minimum for Q4_K_M
- MoE architecture more complex to quantize
- Not API-free — Flash model is API-only
Best use cases
- Agentic coding workflows (autonomous code writing & debugging)
- Long-context document analysis (256K tokens)
- Chat assistant with thinking mode
- Multi-step reasoning tasks
- Edge deployment for high-quality inference
- Real-time applications needing low latency
Benchmarks
Speed: 9/10
Quality: 8/10
Coding: 9/10
Reasoning: 8/10
Technical details
Developer: Alibaba Cloud (Qwen Team)
License: Apache 2.0
Context window: 262,144 tokens
Architecture: Mixture of Experts (MoE) — 35B total, only 3B active per token. Hybrid attention with sparse routing.
Released: 2025-08