qwen3.5:9b-q8_0
OLLAMA GGUFqwen35 · 9.7B · Q8_0
Sep 15, 2026 · Intel Core™ i5-14400F
qwen3.6:35b-mlx
OLLAMA GGUFnvfp4
Jul 17, 2026 · Apple M5 Max
Global Score
86 vs 80
Hardware Fit
100 vs 77
Quality Score
80 vs 81
Hardware
qwen3.5:9b-q8_0 qwen3.6:35b-mlx
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4MacBook Pro
CPUIntel Core™ i5-14400FApple M5 Max
Cores1618
RAM32 GB48 GB
GPUNVIDIA GeForce RTX 5060 TiApple M5 Max
OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3.5:9b-q8_0 qwen3.6:35b-mlx
Tokens/sec37.7129.8
First chunk120 ms77 ms
TTFT120 ms30.0 s
Load time8.3 s1.8 s
Memory usage8.4 GB19.7 GB
Memory %26%41%
HW Fit Score Breakdown
qwen3.5:9b-q8_0
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.6:35b-mlx
Speed
50/50
TTFT
0/20
Memory
27/30
Quality
qwen3.5:9b-q8_0
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
qwen3.6:35b-mlx
Reasoning
19/20
Coding
9/20
Instruction
18/20
Structured
11/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Weak Instruction Following: Strong Structured Output: Adequate 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