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qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 5, 2026 · Apple M1 Max

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

LM-STUDIO GGUF

nomic-bert · Q4_K_M

Marginal

Mar 3, 2026 · Apple M4

Global Score
85 vs 59
Hardware Fit
95 vs 94
Quality Score
80 vs 44

Hardware

qwen3.5:9b text-embedding-nom…
MachineMacBook ProMacBook Air
CPUApple M1 MaxApple M4
Cores1010
RAM32 GB32 GB
GPUApple M1 MaxApple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5:9b text-embedding-nom…
Tokens/sec23.145.3
First chunk358 ms2440 ms
TTFT358 ms2.4 s
Load time3.6 sN/A
Memory usage9.1 GB0.0 GB
Memory %28%0%

HW Fit Score Breakdown

qwen3.5:9b

Speed
45/50
TTFT
20/20
Memory
30/30

text-embedding-nomic-em…

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

Quality

qwen3.5:9b

Reasoning
14/20
Coding
16/20
Instruction
15/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong 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
View qwen3.5:9b details | View text-embedding-nom… 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