mlx-community/gemma-3-1b-it-8bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
unsloth/qwen3.5-9b@q4_k_m
LM-STUDIO GGUFqwen35 · 9B · Q4_K_M
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
72 vs 73
Hardware Fit
99 vs 52
Quality Score
61 vs 82
Hardware
mlx-community/gemm… unsloth/qwen3.5-9b…
MachineMacBook AirDocker Container
CPUApple M4Intel Gen Intel® Core™ i9-11900H
Cores1016
RAM32 GB15 GB
GPUApple M4TigerLake-H GT1 [UHD Graphics]
OSmacOS 26.3Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance
Performance
mlx-community/gemm… unsloth/qwen3.5-9b…
Tokens/sec86.36.5
First chunk253 ms13 ms
TTFT253 ms4.1 s
Load timeN/A10.8 s
Memory usage1.1 GB2.2 GB
Memory %4%14%
HW Fit Score Breakdown
mlx-community/gemma-3-1…
Speed
50/50
TTFT
20/20
Memory
29/30
unsloth/qwen3.5-9b@q4_k_m
Speed
11/50
TTFT
11/20
Memory
30/30
Quality
mlx-community/gemma-3-1…
Reasoning
7/20
Coding
14/20
Instruction
16/20
Structured
14/15
Math
2/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Poor Multilingual: Strong
unsloth/qwen3.5-9b@q4_k_m
Reasoning
15/20
Coding
17/20
Instruction
16/20
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