smollm2-360m-instruct
LM-STUDIO MLXllama · 360M · bf16
Mar 4, 2026 · Apple M4
granite4.2:3b
OLLAMA GGUFgranite · 3.7B · Q4_K_M
Aug 29, 2026 · Apple M1 Pro
Global Score
52 vs 80
Hardware Fit
100 vs 80
Quality Score
32 vs 80
Hardware
smollm2-360m-instr… granite4.2:3b
MachineMacBook AirMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM32 GB16 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced
Performance
smollm2-360m-instr… granite4.2:3b
Tokens/sec121.146.8
First chunk106 ms135 ms
TTFT106 ms135 ms
Load timeN/A0.0 s
Memory usage0.7 GB12.7 GB
Memory %2%79%
HW Fit Score Breakdown
smollm2-360m-instruct
Speed
50/50
TTFT
20/20
Memory
30/30
granite4.2:3b
Speed
50/50
TTFT
20/20
Memory
10/30
Quality
smollm2-360m-instruct
Reasoning
4/20
Coding
3/20
Instruction
12/20
Structured
7/15
Math
2/15
Multilingual
4/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Poor Multilingual: Weak
granite4.2:3b
Reasoning
18/20
Coding
13/20
Instruction
12/20
Structured
15/15
Math
14/15
Multilingual
8/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate 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