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muse-glimmer

OLLAMA GGUF
Good

Sep 5, 2026 · AMD RYZEN AI MAX+ 395

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score
74 vs 89
Hardware Fit
41 vs 95
Quality Score
88 vs 87

Hardware

muse-glimmer qwen/qwen3-8b
MachineAZW GTR ProMac mini
CPUAMD RYZEN AI MAX+ 395Apple M4 Pro
Cores3214
RAM125 GB64 GB
GPURadeon 8060SApple M4 Pro
OSUbuntu 24.04.4 LTSmacOS 15.7.4
Archx64arm64
Power Modelow-powerbalanced

Performance

muse-glimmer qwen/qwen3-8b
Tokens/sec12.133.4
First chunk8749 ms257 ms
TTFT8.7 s257 ms
Load time0.3 sN/A
Memory usage0.0 GB4.3 GB
Memory %0%7%

HW Fit Score Breakdown

muse-glimmer

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

qwen/qwen3-8b

Speed
45/50
TTFT
20/20
Memory
30/30

Quality

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

qwen/qwen3-8b

Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View muse-glimmer details | View qwen/qwen3-8b details

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