qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Aug 22, 2026 · Apple M1 Pro
gemma-4-e4b-it@q5_k_xl
LM-STUDIO GGUFgemma4 · Q5_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
58 vs 77
Hardware Fit
79 vs 59
Quality Score
49 vs 84
Hardware
qwen3.5:9b gemma-4-e4b-it@q5_…
MachineMacBook ProDocker Container
CPUApple M1 ProIntel Gen Intel® Core™ i9-11900H
Cores1016
RAM16 GB15 GB
GPUApple M1 ProTigerLake-H GT1 [UHD Graphics]
OSmacOS 26.6.2Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance
Performance
qwen3.5:9b gemma-4-e4b-it@q5_…
Tokens/sec22.19.3
First chunk601 ms51 ms
TTFT9.1 s3.4 s
Load time4.2 s12.2 s
Memory usage7.2 GB0.0 GB
Memory %45%0%
HW Fit Score Breakdown
qwen3.5:9b
Speed
48/50
TTFT
5/20
Memory
26/30
gemma-4-e4b-it@q5_k_xl
Speed
17/50
TTFT
12/20
Memory
30/30
Quality
qwen3.5:9b
Reasoning
15/20
Coding
4/20
Instruction
5/20
Structured
6/15
Math
11/15
Multilingual
8/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Adequate Multilingual: Strong
gemma-4-e4b-it@q5_k_xl
Reasoning
15/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
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