smollm2-360m-instruct

LM-STUDIO MLX

llama · 360M · bf16

Marginal

Mar 4, 2026 · Apple M4

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Marginal

Mar 5, 2026 · Apple M4

Global Score

52 vs 48

Hardware Fit

100 vs 77

Quality Score

32 vs 35

Hardware

smollm2-360m-instr… qwen3.5:4b

MachineMacBook AirMac mini

CPUApple M4Apple M4

Cores1010

RAM32 GB16 GB

GPUApple M4Apple M4

OSmacOS 26.3macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

smollm2-360m-instr… qwen3.5:4b

Tokens/sec121.118.9

First chunk106 ms316 ms

TTFT106 ms13.0 s

Load timeN/A3.7 s

Memory usage0.7 GB5.9 GB

Memory %2%37%

HW Fit Score Breakdown

smollm2-360m-instruct

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3.5:4b

Speed

43/50

TTFT

4/20

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

qwen3.5:4b

Reasoning

10/20

Coding

1/20

Instruction

4/20

Structured

3/15

Math

8/15

Multilingual

9/10

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

View smollm2-360m-instr… details | View qwen3.5:4b 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