stablelm2:1.6b
OLLAMA GGUFstablelm · 2B · Q4_0
Mar 2, 2026 · Apple M4
qwen3-vl-4b-instruct
LM-STUDIO GGUFqwen3vl · 4B · Q4_K_M
Apr 20, 2026 · Apple M2 Max
Global Score
45 vs 87
Hardware Fit
100 vs 100
Quality Score
22 vs 81
Hardware
stablelm2:1.6b qwen3-vl-4b-instruct
MachineMacBook AirMac Studio
CPUApple M4Apple M2 Max
Cores1012
RAM32 GB96 GB
GPUApple M4Apple M2 Max
OSmacOS 26.3macOS 26.1
Archarm64arm64
Power Modebalancedbalanced
Performance
stablelm2:1.6b qwen3-vl-4b-instruct
Tokens/sec93.871.6
First chunkN/A5 ms
TTFT94 ms157 ms
Load time0.4 sN/A
Memory usage1.1 GB20.5 GB
Memory %3%21%
HW Fit Score Breakdown
stablelm2:1.6b
Speed
40/50
TTFT
30/20
Memory
30/30
qwen3-vl-4b-instruct
Speed
50/50
TTFT
20/20
Memory
30/30
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-vl-4b-instruct
Reasoning
15/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong 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