qwen/qwen3-8b
LM-STUDIO MLXqwen3 · 8B · 4bit
Mar 5, 2026 · Apple M4 Pro
qwen3-1.7b
LM-STUDIO GGUFqwen3 · 1.7B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-5300U
Global Score
89 vs 19
Hardware Fit
95 vs 64
Quality Score
87 vs 0
Hardware
qwen/qwen3-8b qwen3-1.7b
MachineMac miniLENOVO 20BUS00700
CPUApple M4 ProIntel Core™ i5-5300U
Cores144
RAM64 GB16 GB
GPUApple M4 ProIntel(R) HD Graphics 5500
OSmacOS 15.7.4Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced
Performance
qwen/qwen3-8b qwen3-1.7b
Tokens/sec33.45.9
First chunk257 ms2111 ms
TTFT257 ms2.1 s
Load timeN/AN/A
Memory usage4.3 GB1.2 GB
Memory %7%8%
HW Fit Score Breakdown
qwen/qwen3-8b
Speed
45/50
TTFT
20/20
Memory
30/30
qwen3-1.7b
Speed
21/50
TTFT
19/20
Memory
24/30
Quality
qwen/qwen3-8b
Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong 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