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text-embedding-nomic-embed-text-v1.5

LM-STUDIO GGUF

nomic-bert · Q4_K_M

Marginal

Mar 3, 2026 · Apple M4

qwen3.5-9b

LM-STUDIO GGUF

qwen35 · 9B · Q4_K_S

Not Rec.

Mar 14, 2026 · Apple M4

Global Score
59 vs 72
Hardware Fit
94 vs 51
Quality Score
44 vs 81

Hardware

text-embedding-nom… qwen3.5-9b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

text-embedding-nom… qwen3.5-9b
Tokens/sec45.314.4
First chunk2440 ms4 ms
TTFT2.4 s824 ms
Load timeN/AN/A
Memory usage0.0 GB48.3 GB
Memory %0%151%

HW Fit Score Breakdown

text-embedding-nomic-em…

Speed
40/50
TTFT
25/20
Memory
29/30

qwen3.5-9b

Speed
31/50
TTFT
20/20
Memory
0/30

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

qwen3.5-9b

Reasoning
16/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View text-embedding-nom… details | View qwen3.5-9b 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