qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 7, 2026 · AMD Ryzen 5 5500
google/gemma-3-27b
LM-STUDIO MLXgemma3 · 27B · 4bit
Mar 19, 2026 · Apple M4
Global Score
71 vs 71
Hardware Fit
56 vs 35
Quality Score
78 vs 86
Hardware
qwen3.5:9b google/gemma-3-27b
MachineSystem manufacturerMac mini
CPUAMD Ryzen 5 5500Apple M4
Cores1210
RAM16 GB24 GB
GPUNVIDIA GeForce RTX 3060Apple M4
OSMicrosoft Windows 11 IoT Enterprise LTSC 10.0.26100macOS 26.3
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3.5:9b google/gemma-3-27b
Tokens/sec5.35.9
First chunk1624 ms19 ms
TTFT1.6 s1.8 s
Load time4.0 sN/A
Memory usage7.9 GB22.0 GB
Memory %50%92%
HW Fit Score Breakdown
qwen3.5:9b
Speed
11/50
TTFT
20/20
Memory
25/30
google/gemma-3-27b
Speed
12/50
TTFT
19/20
Memory
4/30
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
google/gemma-3-27b
Reasoning
16/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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