qwen3.6:35b-mlx
OLLAMA GGUFnvfp4
Jul 17, 2026 · Apple M5 Max
nvidia/nemotron-3-nano
LM-STUDIO MLXnemotron_h · 30B · 4bit
Mar 4, 2026 · Apple M4
Global Score
89 vs 84
Hardware Fit
97 vs 100
Quality Score
86 vs 77
Hardware
qwen3.6:35b-mlx nvidia/nemotron-3-…
MachineMacBook ProMacBook Air
CPUApple M5 MaxApple M4
Cores1810
RAM48 GB32 GB
GPUApple M5 MaxApple M4
OSmacOS 26.5.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.6:35b-mlx nvidia/nemotron-3-…
Tokens/sec129.447.9
First chunk49 ms465 ms
TTFT49 ms465 ms
Load time0.0 sN/A
Memory usage20.5 GB16.6 GB
Memory %43%52%
HW Fit Score Breakdown
qwen3.6:35b-mlx
Speed
50/50
TTFT
20/20
Memory
27/30
nvidia/nemotron-3-nano
Speed
50/50
TTFT
20/20
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
nvidia/nemotron-3-nano
Reasoning
13/20
Coding
18/20
Instruction
14/20
Structured
15/15
Math
7/15
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