qwen3.5-9b@q5_k_xl
LM-STUDIO GGUFqwen35 · 9B · Q5_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
gemma-4-31b-it-mlx
LM-STUDIO MLXgemma4 · 31B · 8bit
Aug 19, 2026 · Apple M4 Max
Global Score
73 vs 85
Hardware Fit
47 vs 64
Quality Score
84 vs 94
Hardware
qwen3.5-9b@q5_k_xl gemma-4-31b-it-mlx
MachineDocker ContainerMacBook Pro
CPUIntel Gen Intel® Core™ i9-11900HApple M4 Max
Cores1616
RAM15 GB128 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M4 Max
OSUbuntu 26.04 LTSmacOS 26.5.2
Archx64arm64
Power Modeperformancebalanced
Performance
qwen3.5-9b@q5_k_xl gemma-4-31b-it-mlx
Tokens/sec5.613.6
First chunk19 ms16 ms
TTFT5.6 s558 ms
Load time12.5 s12.3 s
Memory usage0.0 GB0.0 GB
Memory %0%0%
HW Fit Score Breakdown
qwen3.5-9b@q5_k_xl
Speed
10/50
TTFT
7/20
Memory
30/30
gemma-4-31b-it-mlx
Speed
14/50
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
gemma-4-31b-it-mlx
Reasoning
19/20
Coding
19/20
Instruction
18/20
Structured
15/15
Math
14/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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