google/gemma-3-4b
LM-STUDIO MLXgemma3 · 4B · 4bit
Mar 3, 2026 · Apple M4
qwen3-1.7b
LM-STUDIO GGUFqwen3 · 1.7B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-5300U
Global Score
76 vs 19
Hardware Fit
100 vs 64
Quality Score
66 vs 0
Hardware
google/gemma-3-4b qwen3-1.7b
MachineMacBook AirLENOVO 20BUS00700
CPUApple M4Intel Core™ i5-5300U
Cores104
RAM32 GB16 GB
GPUApple M4Intel(R) HD Graphics 5500
OSmacOS 26.3Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced
Performance
google/gemma-3-4b qwen3-1.7b
Tokens/sec39.45.9
First chunk468 ms2111 ms
TTFT468 ms2.1 s
Load timeN/AN/A
Memory usage2.8 GB1.2 GB
Memory %9%8%
HW Fit Score Breakdown
google/gemma-3-4b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3-1.7b
Speed
21/50
TTFT
19/20
Memory
24/30
Quality
google/gemma-3-4b
Reasoning
10/20
Coding
17/20
Instruction
13/20
Structured
12/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
qwen3-1.7b
Reasoning
0/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
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