mlx-community/gemma-3-1b-it-8bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
72 vs 81
Hardware Fit
99 vs 96
Quality Score
61 vs 75
Hardware
mlx-community/gemm… qwen3:8b
MachineMacBook AirASUS
CPUApple M4Intel Core™ i5-14600KF
Cores1020
RAM32 GB32 GB
GPUApple M4NVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 26.3Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
mlx-community/gemm… qwen3:8b
Tokens/sec86.3109.1
First chunk253 ms190 ms
TTFT253 ms190 ms
Load timeN/A4.3 s
Memory usage1.1 GB5.6 GB
Memory %4%18%
HW Fit Score Breakdown
mlx-community/gemma-3-1…
Speed
50/50
TTFT
20/20
Memory
29/30
qwen3:8b
Speed
50/50
TTFT
20/20
Memory
26/30
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
qwen3:8b
Reasoning
15/20
Coding
16/20
Instruction
14/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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