smollm2-360m-instruct

LM-STUDIO MLX

llama · 360M · bf16

Marginal

Mar 4, 2026 · Apple M4

qwen2.5-coder-3b-instruct-mlx

LM-STUDIO MLX

qwen2 · 3B · 4bit

Good

Mar 4, 2026 · Apple M4

Global Score

52 vs 73

Hardware Fit

100 vs 100

Quality Score

32 vs 61

Hardware

smollm2-360m-instr… qwen2.5-coder-3b-i…

MachineMacBook AirMacBook Air

CPUApple M4Apple M4

Cores1010

RAM32 GB32 GB

GPUApple M4Apple M4

OSmacOS 26.3macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

smollm2-360m-instr… qwen2.5-coder-3b-i…

Tokens/sec121.152.3

First chunk106 ms285 ms

TTFT106 ms285 ms

Load timeN/AN/A

Memory usage0.7 GB1.6 GB

Memory %2%5%

HW Fit Score Breakdown

smollm2-360m-instruct

Speed

50/50

TTFT

20/20

Memory

30/30

qwen2.5-coder-3b-instru…

Speed

50/50

TTFT

20/20

Memory

30/30

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

qwen2.5-coder-3b-instru…

Reasoning

7/20

Coding

14/20

Instruction

13/20

Structured

14/15

Math

4/15

Multilingual

9/10

Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

View smollm2-360m-instr… details | View qwen2.5-coder-3b-i… details

Run yours and compare

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest