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qwen3.5:4b-mlx

OLLAMA GGUF

nvfp4

Marginal

Aug 24, 2026 · Apple M2

hf.co/bartowski/ai9stars_G9v3-3B-GGUF:BF16

OLLAMA GGUF

llama · 2.99B · BF16

Good

Aug 25, 2026 · Apple M1 Pro

Global Score
53 vs 76
Hardware Fit
82 vs 92
Quality Score
41 vs 69

Hardware

qwen3.5:4b-mlx hf.co/bartowski/ai…
MachineMac miniMacBook Pro
CPUApple M2Apple M1 Pro
Cores810
RAM8 GB16 GB
GPUApple M2Apple M1 Pro
OSmacOS 26.5.2macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5:4b-mlx hf.co/bartowski/ai…
Tokens/sec24.729.9
First chunk302 ms105 ms
TTFT7.4 s105 ms
Load time3.2 s3.4 s
Memory usage3.8 GB8.9 GB
Memory %47%56%

HW Fit Score Breakdown

qwen3.5:4b-mlx

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

hf.co/bartowski/ai9star…

Speed
50/50
TTFT
20/20
Memory
22/30

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

hf.co/bartowski/ai9star…

Reasoning
11/20
Coding
13/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
8/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen3.5:4b-mlx details | View hf.co/bartowski/ai… 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