qwen3.5-9b@q5_k_xl
LM-STUDIO GGUFqwen35 · 9B · Q5_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
gemma4:e4b-it-q8_0
OLLAMA GGUFgemma4 · 8.0B · Q8_0
Aug 25, 2026 · Apple M1 Pro
Global Score
73 vs 88
Hardware Fit
47 vs 100
Quality Score
84 vs 83
Hardware
qwen3.5-9b@q5_k_xl gemma4:e4b-it-q8_0
MachineDocker ContainerMacBook Pro
CPUIntel Gen Intel® Core™ i9-11900HApple M1 Pro
Cores1610
RAM15 GB16 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M1 Pro
OSUbuntu 26.04 LTSmacOS 26.6.2
Archx64arm64
Power Modeperformancebalanced
Performance
qwen3.5-9b@q5_k_xl gemma4:e4b-it-q8_0
Tokens/sec5.627.8
First chunk19 ms204 ms
TTFT5.6 s204 ms
Load time12.5 s6.6 s
Memory usage0.0 GB5.0 GB
Memory %0%31%
HW Fit Score Breakdown
qwen3.5-9b@q5_k_xl
Speed
10/50
TTFT
7/20
Memory
30/30
gemma4:e4b-it-q8_0
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5-9b@q5_k_xl
Reasoning
15/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
gemma4:e4b-it-q8_0
Reasoning
14/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate 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