qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 5, 2026 · Apple M1 Max
ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Mar 6, 2026 · Apple M4
Global Score
53 vs 76
Hardware Fit
72 vs 89
Quality Score
45 vs 71
Hardware
qwen3.5:9b ministral-3:8b
MachineMacBook ProMacBook Air
CPUApple M1 MaxApple M4
Cores1010
RAM32 GB32 GB
GPUApple M1 MaxApple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5:9b ministral-3:8b
Tokens/sec18.619.5
First chunk403 ms328 ms
TTFT10.2 s328 ms
Load time4.3 s1.5 s
Memory usage9.1 GB10.6 GB
Memory %28%33%
HW Fit Score Breakdown
qwen3.5:9b
Speed
38/50
TTFT
4/20
Memory
30/30
ministral-3:8b
Speed
39/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5:9b
Reasoning
12/20
Coding
3/20
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
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