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qwen3.5-9b@q5_k_xl

LM-STUDIO GGUF

qwen35 · 9B · Q5_K_XL

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

gemma4:e4b-mlx

OLLAMA GGUF
Excellent

Jul 7, 2026 · Apple M2 Pro

Global Score
73 vs 85
Hardware Fit
47 vs 95
Quality Score
84 vs 81

Hardware

qwen3.5-9b@q5_k_xl gemma4:e4b-mlx
MachineDocker ContainerMacBook Pro
CPUIntel Gen Intel® Core™ i9-11900HApple M2 Pro
Cores1610
RAM15 GB16 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M2 Pro
OSUbuntu 26.04 LTSmacOS 26.5
Archx64arm64
Power Modeperformancebalanced

Performance

qwen3.5-9b@q5_k_xl gemma4:e4b-mlx
Tokens/sec5.647.3
First chunk19 ms258 ms
TTFT5.6 s258 ms
Load time12.5 s5.1 s
Memory usage0.0 GB7.9 GB
Memory %0%49%

HW Fit Score Breakdown

qwen3.5-9b@q5_k_xl

Speed
10/50
TTFT
7/20
Memory
30/30

gemma4:e4b-mlx

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

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-mlx

Reasoning
15/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen3.5-9b@q5_k_xl details | View gemma4:e4b-mlx 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