qwen3.5-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Mar 3, 2026 · Apple M4
text-embedding-nomic-embed-text-v1.5
LM-STUDIO GGUFnomic-bert · Q4_K_M
Mar 3, 2026 · Apple M4
Global Score
75 vs 59
Hardware Fit
54 vs 94
Quality Score
84 vs 44
Hardware
qwen3.5-27b text-embedding-nom…
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5-27b text-embedding-nom…
Tokens/sec6.645.3
First chunk4364 ms2440 ms
TTFT4.4 s2.4 s
Load timeN/AN/A
Memory usage15.0 GB0.0 GB
Memory %47%0%
HW Fit Score Breakdown
qwen3.5-27b
Speed
13/50
TTFT
11/20
Memory
30/30
text-embedding-nomic-em…
Speed
40/50
TTFT
25/20
Memory
29/30
Quality
qwen3.5-27b
Reasoning
17/20
Coding
18/20
Instruction
11/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong 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