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qwen/qwen3.6-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Oct 22, 2026 · Apple M1 Pro

muse-glimmer

OLLAMA GGUF
Good

Sep 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score
80 vs 74
Hardware Fit
56 vs 41
Quality Score
90 vs 88

Hardware

qwen/qwen3.6-27b muse-glimmer
MachineMacBook ProAZW GTR Pro
CPUApple M1 ProAMD RYZEN AI MAX+ 395
Cores1032
RAM32 GB125 GB
GPUApple M1 ProRadeon 8060S
OSmacOS 15.6.1Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

qwen/qwen3.6-27b muse-glimmer
Tokens/sec10.812.1
First chunk16 ms8749 ms
TTFT2.6 s8.7 s
Load timeN/A0.3 s
Memory usage21.0 GB0.0 GB
Memory %66%0%

HW Fit Score Breakdown

qwen/qwen3.6-27b

Speed
23/50
TTFT
16/20
Memory
17/30

muse-glimmer

Speed
10/50
TTFT
1/20
Memory
30/30

Quality

qwen/qwen3.6-27b

Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

muse-glimmer

Reasoning
18/20
Coding
18/20
Instruction
13/20
Structured
14/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
View qwen/qwen3.6-27b details | View muse-glimmer details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest