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qwen3.5:4b-mlx

OLLAMA GGUF

nvfp4

Marginal

Aug 24, 2026 · Apple M2

nvidia/nemotron-3-nano

LM-STUDIO MLX

nemotron_h · 30B · 4bit

Excellent

Mar 4, 2026 · Apple M4

Global Score
53 vs 84
Hardware Fit
82 vs 100
Quality Score
41 vs 77

Hardware

qwen3.5:4b-mlx nvidia/nemotron-3-…
MachineMac miniMacBook Air
CPUApple M2Apple M4
Cores810
RAM8 GB32 GB
GPUApple M2Apple M4
OSmacOS 26.5.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5:4b-mlx nvidia/nemotron-3-…
Tokens/sec24.747.9
First chunk302 ms465 ms
TTFT7.4 s465 ms
Load time3.2 sN/A
Memory usage3.8 GB16.6 GB
Memory %47%52%

HW Fit Score Breakdown

qwen3.5:4b-mlx

Speed
50/50
TTFT
6/20
Memory
26/30

nvidia/nemotron-3-nano

Speed
50/50
TTFT
20/20
Memory
30/30

Quality

qwen3.5:4b-mlx

Reasoning
13/20
Coding
2/20
Instruction
4/20
Structured
4/15
Math
10/15
Multilingual
8/10
Reasoning: Adequate Coding: Poor Instruction Following: Poor Structured Output: Weak Math: Adequate 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
View qwen3.5:4b-mlx details | View nvidia/nemotron-3-… details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest