qwen3.5:9b-mlx
OLLAMA GGUFnvfp4
Aug 26, 2026 · Apple M1 Pro
google/gemma-3-4b
LM-STUDIO MLXgemma3 · 4B · 4bit
Mar 3, 2026 · Apple M4
Global Score
54 vs 76
Hardware Fit
81 vs 100
Quality Score
43 vs 66
Hardware
qwen3.5:9b-mlx google/gemma-3-4b
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5:9b-mlx google/gemma-3-4b
Tokens/sec25.239.4
First chunk341 ms468 ms
TTFT6.3 s468 ms
Load time3.4 sN/A
Memory usage8.4 GB2.8 GB
Memory %52%9%
HW Fit Score Breakdown
qwen3.5:9b-mlx
Speed
50/50
TTFT
7/20
Memory
24/30
google/gemma-3-4b
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5:9b-mlx
Reasoning
14/20
Coding
2/20
Instruction
4/20
Structured
4/15
Math
10/15
Multilingual
9/10
Reasoning: Adequate Coding: Poor Instruction Following: Poor Structured Output: Weak Math: Adequate Multilingual: Strong
google/gemma-3-4b
Reasoning
10/20
Coding
17/20
Instruction
13/20
Structured
12/15
Math
4/15
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