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qwen3:14b

OLLAMA GGUF

qwen3 · 14.8B · Q4_K_M

Marginal

Mar 5, 2026 · Apple M1 Max

muse-glimmer

OLLAMA GGUF
Good

Sep 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score
58 vs 74
Hardware Fit
82 vs 41
Quality Score
48 vs 88

Hardware

qwen3:14b muse-glimmer
MachineMacBook ProAZW GTR Pro
CPUApple M1 MaxAMD RYZEN AI MAX+ 395
Cores1032
RAM32 GB125 GB
GPUApple M1 MaxRadeon 8060S
OSmacOS 26.3Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

qwen3:14b muse-glimmer
Tokens/sec24.412.1
First chunk294 ms8749 ms
TTFT7.9 s8.7 s
Load time3.7 s0.3 s
Memory usage13.8 GB0.0 GB
Memory %43%0%

HW Fit Score Breakdown

qwen3:14b

Speed
47/50
TTFT
5/20
Memory
30/30

muse-glimmer

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

Quality

qwen3:14b

Reasoning
13/20
Coding
6/20
Instruction
10/20
Structured
9/15
Math
2/15
Multilingual
8/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Poor 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

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest