gemma-3-270m-it-qat-mlx
LM-STUDIO MLXgemma3_text · 270M · 4bit
Mar 4, 2026 · Apple M4
qwen3.5:9b-q8_0
OLLAMA GGUFqwen35 · 9.7B · Q8_0
Sep 15, 2026 · Intel Core™ i5-14400F
Global Score
43 vs 86
Hardware Fit
99 vs 100
Quality Score
19 vs 80
Hardware
gemma-3-270m-it-qa… qwen3.5:9b-q8_0
MachineMacBook AirGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4
CPUApple M4Intel Core™ i5-14400F
Cores1016
RAM32 GB32 GB
GPUApple M4NVIDIA GeForce RTX 5060 Ti
OSmacOS 26.3Microsoft Windows 11 Professionnel 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
gemma-3-270m-it-qa… qwen3.5:9b-q8_0
Tokens/sec344.237.7
First chunk173 ms120 ms
TTFT173 ms120 ms
Load timeN/A8.3 s
Memory usage0.3 GB8.4 GB
Memory %1%26%
HW Fit Score Breakdown
gemma-3-270m-it-qat-mlx
Speed
50/50
TTFT
20/20
Memory
29/30
qwen3.5:9b-q8_0
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
gemma-3-270m-it-qat-mlx
Reasoning
4/20
Coding
0/20
Instruction
9/20
Structured
3/15
Math
1/15
Multilingual
2/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor
qwen3.5:9b-q8_0
Reasoning
14/20
Coding
16/20
Instruction
15/20
Structured
15/15
Math
10/15
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