qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Aug 22, 2026 · Apple M1 Pro
ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Aug 25, 2026 · Apple M1 Pro
Global Score
58 vs 72
Hardware Fit
79 vs 71
Quality Score
49 vs 72
Hardware
qwen3.5:9b ministral-3:8b
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M1 Pro
Cores1010
RAM16 GB16 GB
GPUApple M1 ProApple M1 Pro
OSmacOS 26.6.2macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5:9b ministral-3:8b
Tokens/sec22.119.8
First chunk601 ms269 ms
TTFT9.1 s269 ms
Load time4.2 s10.7 s
Memory usage7.2 GB13.7 GB
Memory %45%86%
HW Fit Score Breakdown
qwen3.5:9b
Speed
48/50
TTFT
5/20
Memory
26/30
ministral-3:8b
Speed
44/50
TTFT
20/20
Memory
7/30
Quality
qwen3.5:9b
Reasoning
15/20
Coding
4/20
Instruction
5/20
Structured
6/15
Math
11/15
Multilingual
8/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Adequate Multilingual: Strong
ministral-3:8b
Reasoning
12/20
Coding
18/20
Instruction
13/20
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