qwen3:14b
OLLAMA GGUFqwen3 · 14.8B · Q4_K_M
Mar 5, 2026 · Apple M1 Max
yi-coder-1.5b-chat
LM-STUDIO GGUFllama · 1.5B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-5300U
Global Score
58 vs 45
Hardware Fit
82 vs 67
Quality Score
48 vs 35
Hardware
qwen3:14b yi-coder-1.5b-chat
MachineMacBook ProLENOVO 20BUS00700
CPUApple M1 MaxIntel Core™ i5-5300U
Cores104
RAM32 GB16 GB
GPUApple M1 MaxIntel(R) HD Graphics 5500
OSmacOS 26.3Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3:14b yi-coder-1.5b-chat
Tokens/sec24.47.7
First chunk294 ms2668 ms
TTFT7.9 s2.7 s
Load time3.7 sN/A
Memory usage13.8 GB0.9 GB
Memory %43%6%
HW Fit Score Breakdown
qwen3:14b
Speed
47/50
TTFT
5/20
Memory
30/30
yi-coder-1.5b-chat
Speed
26/50
TTFT
17/20
Memory
24/30
Quality
qwen3:14b
Reasoning
13/20
Coding
6/20
Instruction
10/20
Structured
9/15
Math
2/15
Multilingual
8/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Strong
yi-coder-1.5b-chat
Reasoning
4/20
Coding
12/20
Instruction
6/20
Structured
6/15
Math
1/15
Multilingual
6/10
Reasoning: Poor Coding: Adequate Instruction Following: Weak Structured Output: Weak Math: Poor Multilingual: Adequate
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