ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Mar 6, 2026 · Apple M4
muse-glimmer
OLLAMA GGUFSep 5, 2026 · AMD RYZEN AI MAX+ 395
Global Score
76 vs 74
Hardware Fit
89 vs 41
Quality Score
71 vs 88
Hardware
ministral-3:8b muse-glimmer
MachineMacBook AirAZW GTR Pro
CPUApple M4AMD RYZEN AI MAX+ 395
Cores1032
RAM32 GB125 GB
GPUApple M4Radeon 8060S
OSmacOS 26.3Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power
Performance
ministral-3:8b muse-glimmer
Tokens/sec19.512.1
First chunk328 ms8749 ms
TTFT328 ms8.7 s
Load time1.5 s0.3 s
Memory usage10.6 GB0.0 GB
Memory %33%0%
HW Fit Score Breakdown
ministral-3:8b
Speed
39/50
TTFT
20/20
Memory
30/30
muse-glimmer
Speed
10/50
TTFT
1/20
Memory
30/30
Quality
ministral-3:8b
Reasoning
12/20
Coding
18/20
Instruction
12/20
Structured
13/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest