qwen3.5-9b-mlx
LM-STUDIO MLXqwen3_5 · 9B · 4bit
Mar 11, 2026 · Apple M4
gemma4:e2b
OLLAMA GGUFgemma4 · 5.1B · Q4_K_M
Apr 4, 2026 · AMD RYZEN AI MAX+ 395
Global Score
59 vs 83
Hardware Fit
65 vs 100
Quality Score
57 vs 76
Hardware
qwen3.5-9b-mlx gemma4:e2b
MachineMac miniAZW GTR Pro
CPUApple M4AMD RYZEN AI MAX+ 395
Cores1032
RAM24 GB125 GB
GPUApple M4Radeon 8060S
OSmacOS 26.3Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedperformance
Performance
qwen3.5-9b-mlx gemma4:e2b
Tokens/sec14.387.9
First chunk24 ms196 ms
TTFT13.4 s196 ms
Load time13.3 s2.7 s
Memory usage2.5 GB11.2 GB
Memory %10%9%
HW Fit Score Breakdown
qwen3.5-9b-mlx
Speed
32/50
TTFT
3/20
Memory
30/30
gemma4:e2b
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5-9b-mlx
Reasoning
10/20
Coding
17/20
Instruction
5/20
Structured
9/15
Math
11/15
Multilingual
5/10
Reasoning: Weak Coding: Strong Instruction Following: Weak Structured Output: Adequate Math: Adequate Multilingual: Adequate
gemma4:e2b
Reasoning
12/20
Coding
16/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate 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