qwen3.5:4b-mlx
OLLAMA GGUFnvfp4
Aug 24, 2026 · Apple M2
text-embedding-nomic-embed-text-v1.5
LM-STUDIO GGUFnomic-bert · Q4_K_M
Mar 3, 2026 · Apple M4
Global Score
53 vs 59
Hardware Fit
81 vs 94
Quality Score
41 vs 44
Hardware
qwen3.5:4b-mlx text-embedding-nom…
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 text-embedding-nom…
Tokens/sec24.845.3
First chunk317 ms2440 ms
TTFT7.4 s2.4 s
Load time0.0 sN/A
Memory usage3.9 GB0.0 GB
Memory %49%0%
HW Fit Score Breakdown
qwen3.5:4b-mlx
Speed
50/50
TTFT
6/20
Memory
25/30
text-embedding-nomic-em…
Speed
40/50
TTFT
25/20
Memory
29/30
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
text-embedding-nomic-em…
Reasoning
10/20
Coding
3/20
Instruction
11/20
Structured
12/15
Math
3/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong 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