qwen3.5-2b-mlx
LM-STUDIO MLXqwen3_5 · 2B · 8bit
Mar 3, 2026 · Apple M4
smollm2-360m-instruct
LM-STUDIO MLXllama · 360M · bf16
Mar 4, 2026 · Apple M4
Global Score
70 vs 52
Hardware Fit
93 vs 100
Quality Score
60 vs 32
Hardware
qwen3.5-2b-mlx 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-mlx smollm2-360m-instr…
Tokens/sec32.9121.1
First chunk3096 ms106 ms
TTFT3.1 s106 ms
Load timeN/AN/A
Memory usage2.5 GB0.7 GB
Memory %8%2%
HW Fit Score Breakdown
qwen3.5-2b-mlx
Speed
50/50
TTFT
13/20
Memory
30/30
smollm2-360m-instruct
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5-2b-mlx
Reasoning
11/20
Coding
9/20
Instruction
14/20
Structured
14/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor 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