ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Mar 6, 2026 · Apple M4
qwen3.5-27b
LM-STUDIO GGUFqwen35 · 27B · Q4_K_M
Mar 6, 2026 · Apple M4 Pro
Global Score
76 vs 26
Hardware Fit
89 vs 63
Quality Score
71 vs 10
Hardware
ministral-3:8b qwen3.5-27b
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM32 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
ministral-3:8b qwen3.5-27b
Tokens/sec19.59.5
First chunk328 ms1099 ms
TTFT328 ms1.1 s
Load time1.5 sN/A
Memory usage10.6 GB16.3 GB
Memory %33%25%
HW Fit Score Breakdown
ministral-3:8b
Speed
39/50
TTFT
20/20
Memory
30/30
qwen3.5-27b
Speed
13/50
TTFT
20/20
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
qwen3.5-27b
Reasoning
0/20
Coding
0/20
Instruction
2/20
Structured
0/15
Math
1/15
Multilingual
7/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Adequate
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