stablelm2:1.6b
OLLAMA GGUFstablelm · 2B · Q4_0
Mar 2, 2026 · Apple M4
qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
45 vs 85
Hardware Fit
100 vs 96
Quality Score
22 vs 80
Hardware
stablelm2:1.6b qwen3.5:9b
MachineMacBook AirASUS
CPUApple M4Intel Core™ i5-14600KF
Cores1020
RAM32 GB32 GB
GPUApple M4NVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 26.3Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
stablelm2:1.6b qwen3.5:9b
Tokens/sec93.888.6
First chunkN/A306 ms
TTFT94 ms306 ms
Load time0.4 s7.0 s
Memory usage1.1 GB8.1 GB
Memory %3%25%
HW Fit Score Breakdown
stablelm2:1.6b
Speed
40/50
TTFT
30/20
Memory
30/30
qwen3.5:9b
Speed
50/50
TTFT
20/20
Memory
26/30
Quality
stablelm2:1.6b
Reasoning
4/20
Coding
7/20
Instruction
6/20
Structured
1/15
Math
2/15
Multilingual
2/10
Reasoning: Poor Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor
qwen3.5:9b
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