llmrun

Qwen 3.6 Models — Hardware Requirements

15 Qwen 3.6 models from Alibaba and the community, from the smallest that runs in 4 GB of VRAM at Q4 up to 36.0B parameters. Every row links to full quantization tables and GPU compatibility.

All Qwen 3.6 Models by Size

ModelParamsContext
Qwen3.6 27B MTPLX Optimized Speed4.7B262K
Qwen3.6 27B DFlash27B262K
Qwen3.6 27B27.8B262K
Qwen3.6 35B A3B36.0B262K
Community variants and fine-tunes(24)
ModelParamsContext
Qwen3.6 27B M14.1B—
Qwen3.6 27B MTPLX Optimized26.9B262K
Qwen3.6 27B OBLITERATED26.9B262K
Qwen3.6 27B PRISM PRO DQ27B—
Qwen3.6 27B Uncensored HauhauCS Aggressive MTP27B—
Qwen3.6 27B MTP TQ3 4S27B—
Qwen3.6 27B Uncensored Heretic v2 Native MTP Preserved27.4B262K
Qwen3.6 27B AEON Ultimate Uncensored27.4B262K
Qwen3.6 27B AEON Ultimate Uncensored BF1627.4B262K
ThinkingCap Qwen3.6 27B27.4B262K
Qwen3.6 27B Heretic2 Uncensored Finetune Thinking27.4B262K
Qwen3.6 27B Claude Opus Reasoning Distilled27.8B262K
Huihui Qwen3.6 27B Abliterated27.8B262K
Qwen3.6 27B Uncensored HauhauCS Aggressive Safetensor Benchmark27.8B262K
Qwen3.6 28B28.2B262K
Qwen3.6 35B A3B Abliterated V434.7B262K
Qwen3.6 35B A3B DFlash35B262K
Qwen3.6 35B A3b Crown Halo Mtp Dynamic35B—
Qwen3.6 35B A3B Uncensored Heretic Native MTP Preserved35.1B262K
Qwen3.6 35B A3B Claude 4.6 Opus Reasoning Distilled36.0B262K
Huihui Qwen3.6 35B A3B Claude 4.7 Opus Abliterated36.0B262K
Qwen3.6 35B A3B Claude 4.7 Opus Reasoning Distilled36.0B262K
Qwen3.6 40B Claude 4.6 Opus Deckard Heretic Uncensored Thinking39.5B262K
Qwen3.6 40B Deckard MTP40B—

How Qwen 3.6 Compares — llmrun Composite Score

Qwen3.6 27B is the highest-scoring Qwen 3.6 model with an llmrun Composite Score of 111.2 — #30 among 106 open models. The top proprietary model, Gemini 4 Carbon, scores 158.6. Click a model to see its full benchmark breakdown.

Gemini 4 Carbon · proprietary158.6
GPT 6 Astra · proprietary156.2
Claude Opus 5.5 · proprietary153.0
GPT 6.1 Sol · proprietary151.7
GPT 6.1 Terra · proprietary150.1
Kimi K3132.7
GLM 5.3130.1
llmrun Composite Score, open and proprietary models (how it is built) · ■ Qwen 3.6 · ■ other open models · ■ proprietary · bars start at 100

Frequently Asked Questions

How much VRAM do I need to run a Qwen 3.6 model?
The smallest Qwen 3.6 model, Qwen3.6 27B MTPLX Optimized Speed, runs from 4 GB of VRAM at Q4_K_M (smaller low-bit quantizations start at 2.7 GB with a noticeable quality loss). Larger family members need proportionally more — see the table above for every model.
Which Qwen 3.6 models can I run on a 16 GB GPU?
2 of 28 Qwen 3.6 models fit in 16 GB of VRAM at Q4_K_M, including Qwen3.6 27B MTPLX Optimized Speed, Qwen3.6 27B M.
What is the most popular Qwen 3.6 model to run locally?
Qwen3.6 35B A3B is the most downloaded Qwen 3.6 model in local-friendly quantized formats. It runs from 22.0 GB of VRAM at Q4_K_M.
How do Qwen 3.6 models score on benchmarks?
Qwen3.6 27B leads the family with an llmrun Composite Score of 111.2, ranking #30 among 106 open models, while the top proprietary model, Gemini 4 Carbon, scores 158.6. See the comparison chart above for the full standings.