qwen3-1.7b
LM-STUDIO GGUFqwen3 · 1.7B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-5300U
qwen3:14b
OLLAMA GGUFqwen3 · 14.8B · Q4_K_M
Mar 11, 2026 · Apple M4
Global Score
19 vs 83
Hardware Fit
64 vs 73
Quality Score
0 vs 87
Hardware
qwen3-1.7b qwen3:14b
MachineLENOVO 20BUS00700Mac mini
CPUIntel Core™ i5-5300UApple M4
Cores410
RAM16 GB24 GB
GPUIntel(R) HD Graphics 5500Apple M4
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.3
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3-1.7b qwen3:14b
Tokens/sec5.911.1
First chunk2111 ms500 ms
TTFT2.1 s500 ms
Load timeN/A7.3 s
Memory usage1.2 GB9.4 GB
Memory %8%39%
HW Fit Score Breakdown
qwen3-1.7b
Speed
21/50
TTFT
19/20
Memory
24/30
qwen3:14b
Speed
25/50
TTFT
20/20
Memory
28/30
Quality
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
qwen3:14b
Reasoning
17/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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