Magnitude
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Qwen3.6 35B-A3B

by Qwen · Released · Apache 2.0

Efficient MoE coding model with a large knowledge footprint and low active compute.

Parameters
35B · 3B active
Context
256K tokens
Input
Text + image
Speculative decoding
DFlash
Intelligence
32%
License
Apache 2.0
Variants
Q4 · Q5 · Q6 · Q8
Source
Hugging Face ↗

Downloads

Sizes include the vision projector and speculative draft Magnitude installs. Every file is pinned to an immutable Hugging Face commit.

Variant Format Download Fidelity
Q4 UD-Q4_K_XL 24.2 GB 40/100
Q5 UD-Q5_K_XL 28.5 GB 50/100
Q6 UD-Q6_K_XL 33.9 GB 60/100
Q8 UD-Q8_K_XL 40.4 GB 80/100

How it compares

Intelligence across every model in the catalog: each model's Artificial Analysis Intelligence Index score as a percentage of the top model on v4.3.2, as of Sep 29, 2026.

  1. Qwen3.8 Flash Next 69%
  2. Qwen3.8 27B 59%
  3. Nemotron 3.5 Super VL 120B-A12B 46%
  4. Gemma 4 31B 33%
  5. MiniCPM-V 4.7 35B-A3B 33%
  6. Nemotron 3.5 Bolt 74B-A9B 33%
  7. Qwen3.6 35B-A3B 32%
  8. Muse Glimmer 30B 30%
  9. Gemma 4 26B-A4B 29%
  10. Liquid LFM2.5 24B-A2B 27%
  11. Gemma 4 12B 25%
  12. Liquid LFM3 1.7B 24%
  13. Qwen3.5 4B 23%
  14. Liquid LFM3-VL 2B 22%
  15. MiniCPM5 2B 22%
  16. Nemotron 3.5 Lightning 30B-A3B 22%
  17. Qwen3.5 9B 19%
  18. Gemma 4 E4B 15%
  19. Liquid LFM2.5 2.6B 15%
  20. MiniCPM5 1B 15%
  21. Gemma 4 E2B 14%
  22. Liquid LFM2.5 8B-A1B 13%
  23. MiniCPM-V 4.7 1B 10%

Works with your agent

One click in Magnitude connects Qwen3.6 35B-A3B to any of these harnesses.

  • Pi
  • OpenCode
  • Hermes
  • OpenClaw
  • Codex
  • Claude Code
  • Oh My Pi
  • Cline

Related models

FAQ

How much memory does Qwen3.6 35B-A3B need?

The smallest download is 24.2 GB and the largest is 40.4 GB. Plan for the weights plus a few gigabytes for context. Magnitude measures your free memory and only recommends variants that fit with room to work.

Can I run Qwen3.6 35B-A3B on a Mac?

Yes. Magnitude runs GGUF models on Apple Silicon through Metal, and on NVIDIA, AMD, and CPU-only machines on Windows and Linux. The app estimates tokens per second for your exact chip before you download.

Which variant should I pick?

Magnitude picks for you: the highest-fidelity variant that fits your memory. If you choose manually, Q8 keeps the most fidelity, and Q4 is the smallest at 24.2 GB.

Catalog data from magnitudedev/magnitude, updated Oct 28, 2026.

Run Qwen3.6 35B-A3B on your machine

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