qwen3.5:2b
OLLAMA GGUFqwen35 · 2.3B · Q8_0
Mar 2, 2026 · Apple M4
smollm2-360m-instruct
LM-STUDIO MLXllama · 360M · bf16
Mar 4, 2026 · Apple M4
Global Score
73 vs 52
Hardware Fit
100 vs 100
Quality Score
62 vs 32
Hardware
qwen3.5:2b smollm2-360m-instr…
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5:2b smollm2-360m-instr…
Tokens/sec30.4121.1
First chunkN/A106 ms
TTFT215 ms106 ms
Load time1.8 sN/A
Memory usage4.5 GB0.7 GB
Memory %14%2%
HW Fit Score Breakdown
qwen3.5:2b
Speed
40/50
TTFT
30/20
Memory
30/30
smollm2-360m-instruct
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5:2b
Reasoning
12/20
Coding
10/20
Instruction
13/20
Structured
14/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
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
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