qwen3.6:35b-mlx
OLLAMA GGUFnvfp4
Jul 17, 2026 · Apple M5 Max
qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 4bit
Mar 6, 2026 · Apple M4 Pro
Global Score
89 vs 53
Hardware Fit
97 vs 89
Quality Score
86 vs 38
Hardware
qwen3.6:35b-mlx qwen3.5-0.8b-mlx
MachineMacBook ProMac mini
CPUApple M5 MaxApple M4 Pro
Cores1814
RAM48 GB64 GB
GPUApple M5 MaxApple M4 Pro
OSmacOS 26.5.2macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.6:35b-mlx qwen3.5-0.8b-mlx
Tokens/sec129.452.9
First chunk49 ms4013 ms
TTFT49 ms4.0 s
Load time0.0 sN/A
Memory usage20.5 GB0.6 GB
Memory %43%1%
HW Fit Score Breakdown
qwen3.6:35b-mlx
Speed
50/50
TTFT
20/20
Memory
27/30
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
9/20
Memory
30/30
Quality
qwen3.6:35b-mlx
Reasoning
15/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
qwen3.5-0.8b-mlx
Reasoning
7/20
Coding
2/20
Instruction
12/20
Structured
10/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate
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