qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
gemma4:12b
OLLAMA GGUFgemma4 · 11.9B · Q4_K_M
Jul 4, 2026 · Apple M2 Pro
Global Score
84 vs 89
Hardware Fit
94 vs 88
Quality Score
80 vs 89
Hardware
qwen3.5:9b gemma4:12b
MachineASUSMacBook Pro
CPUIntel Core™ i5-14600KFApple M2 Pro
Cores2010
RAM32 GB16 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M2 Pro
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.5
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3.5:9b gemma4:12b
Tokens/sec86.318.4
First chunk316 ms758 ms
TTFT316 ms758 ms
Load time0.3 s0.3 s
Memory usage8.1 GB7.5 GB
Memory %25%47%
HW Fit Score Breakdown
qwen3.5:9b
Speed
50/50
TTFT
20/20
Memory
24/30
gemma4:12b
Speed
42/50
TTFT
20/20
Memory
26/30
Quality
qwen3.5:9b
Reasoning
14/20
Coding
16/20
Instruction
15/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
gemma4:12b
Reasoning
17/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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