qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
gemma4:12b-mlx
OLLAMA GGUFJul 4, 2026 · Apple M2 Pro
Global Score
84 vs 84
Hardware Fit
94 vs 82
Quality Score
80 vs 85
Hardware
qwen3.5:9b gemma4:12b-mlx
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-mlx
Tokens/sec86.327.2
First chunk316 ms732 ms
TTFT316 ms8.1 s
Load time0.3 s3.5 s
Memory usage8.1 GB7.1 GB
Memory %25%44%
HW Fit Score Breakdown
qwen3.5:9b
Speed
50/50
TTFT
20/20
Memory
24/30
gemma4:12b-mlx
Speed
50/50
TTFT
6/20
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-mlx
Reasoning
16/20
Coding
17/20
Instruction
13/20
Structured
15/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate 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