text-embedding-nomic-embed-text-v1.5
LM-STUDIO GGUFnomic-bert · Q4_K_M
Mar 3, 2026 · Apple M4
qwen36-distill-apex
OLLAMA GGUFJul 17, 2026 · Apple M5 Max
Global Score
59 vs 36
Hardware Fit
94 vs 100
Quality Score
44 vs 8
Hardware
text-embedding-nom… qwen36-distill-apex
MachineMacBook AirMacBook Pro
CPUApple M4Apple M5 Max
Cores1018
RAM32 GB64 GB
GPUApple M4Apple M5 Max
OSmacOS 26.3macOS 27.0
Archarm64arm64
Power Modebalancedbalanced
Performance
text-embedding-nom… qwen36-distill-apex
Tokens/sec45.355.2
First chunk2440 ms210 ms
TTFT2.4 s210 ms
Load timeN/A4.8 s
Memory usage0.0 GB0.9 GB
Memory %0%2%
HW Fit Score Breakdown
text-embedding-nomic-em…
Speed
40/50
TTFT
25/20
Memory
29/30
qwen36-distill-apex
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
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
qwen36-distill-apex
Reasoning
8/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
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