qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 7, 2026 · AMD Ryzen 5 5500
ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
Global Score
71 vs 79
Hardware Fit
56 vs 98
Quality Score
78 vs 71
Hardware
qwen3.5:9b ministral-3:8b
MachineSystem manufacturerMac mini
CPUAMD Ryzen 5 5500Apple M4 Pro
Cores1212
RAM16 GB24 GB
GPUNVIDIA GeForce RTX 3060Apple M4 Pro
OSMicrosoft Windows 11 IoT Enterprise LTSC 10.0.26100macOS 15.6.1
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3.5:9b ministral-3:8b
Tokens/sec5.341.4
First chunk1624 ms257 ms
TTFT1.6 s257 ms
Load time4.0 s5.2 s
Memory usage7.9 GB9.0 GB
Memory %50%38%
HW Fit Score Breakdown
qwen3.5:9b
Speed
11/50
TTFT
20/20
Memory
25/30
ministral-3:8b
Speed
50/50
TTFT
20/20
Memory
28/30
Quality
qwen3.5:9b
Reasoning
14/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong 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