qwen36-distill-apex
OLLAMA GGUFJul 17, 2026 · Apple M5 Max
ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
Global Score
36 vs 79
Hardware Fit
100 vs 98
Quality Score
8 vs 71
Hardware
qwen36-distill-apex ministral-3:8b
MachineMacBook ProMac mini
CPUApple M5 MaxApple M4 Pro
Cores1812
RAM64 GB24 GB
GPUApple M5 MaxApple M4 Pro
OSmacOS 27.0macOS 15.6.1
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen36-distill-apex ministral-3:8b
Tokens/sec55.241.4
First chunk210 ms257 ms
TTFT210 ms257 ms
Load time4.8 s5.2 s
Memory usage0.9 GB9.0 GB
Memory %2%38%
HW Fit Score Breakdown
qwen36-distill-apex
Speed
50/50
TTFT
20/20
Memory
30/30
ministral-3:8b
Speed
50/50
TTFT
20/20
Memory
28/30
Quality
qwen36-distill-apex
Reasoning
8/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
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
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