qwen3.6:35b-mlx
OLLAMA GGUFnvfp4
Jul 17, 2026 · Apple M5 Max
qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
80 vs 81
Hardware Fit
77 vs 96
Quality Score
81 vs 75
Hardware
qwen3.6:35b-mlx qwen3:8b
MachineMacBook ProASUS
CPUApple M5 MaxIntel Core™ i5-14600KF
Cores1820
RAM48 GB32 GB
GPUApple M5 MaxNVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 26.5.2Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3.6:35b-mlx qwen3:8b
Tokens/sec129.8109.1
First chunk77 ms190 ms
TTFT30.0 s190 ms
Load time1.8 s4.3 s
Memory usage19.7 GB5.6 GB
Memory %41%18%
HW Fit Score Breakdown
qwen3.6:35b-mlx
Speed
50/50
TTFT
0/20
Memory
27/30
qwen3:8b
Speed
50/50
TTFT
20/20
Memory
26/30
Quality
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
qwen3:8b
Reasoning
15/20
Coding
16/20
Instruction
14/20
Structured
14/15
Math
6/15
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