qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Aug 19, 2026 · Apple M4 Max
text-embedding-nomic-embed-text-v1.5
LM-STUDIO GGUFnomic-bert · Q4_K_M
Mar 3, 2026 · Apple M4
Global Score
84 vs 59
Hardware Fit
69 vs 94
Quality Score
90 vs 44
Hardware
qwen/qwen3.8-27b text-embedding-nom…
MachineMacBook ProMacBook Air
CPUApple M4 MaxApple M4
Cores1610
RAM128 GB32 GB
GPUApple M4 MaxApple M4
OSmacOS 26.5.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen/qwen3.8-27b text-embedding-nom…
Tokens/sec28.945.3
First chunk33 ms2440 ms
TTFT4.4 s2.4 s
Load time7.9 sN/A
Memory usage0.0 GB0.0 GB
Memory %0%0%
HW Fit Score Breakdown
qwen/qwen3.8-27b
Speed
33/50
TTFT
6/20
Memory
30/30
text-embedding-nomic-em…
Speed
40/50
TTFT
25/20
Memory
29/30
Quality
qwen/qwen3.8-27b
Reasoning
19/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong 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