smollm2-360m-instruct

LM-STUDIO MLX

llama · 360M · bf16

Marginal

Mar 4, 2026 · Apple M4

google/gemma-3-27b

LM-STUDIO MLX

gemma3 · 27B · 4bit

Not Rec.

Mar 19, 2026 · Apple M4

Global Score

52 vs 71

Hardware Fit

100 vs 35

Quality Score

32 vs 86

Hardware

smollm2-360m-instr… google/gemma-3-27b

MachineMacBook AirMac mini

CPUApple M4Apple M4

Cores1010

RAM32 GB24 GB

GPUApple M4Apple M4

OSmacOS 26.3macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

smollm2-360m-instr… google/gemma-3-27b

Tokens/sec121.15.9

First chunk106 ms19 ms

TTFT106 ms1.8 s

Load timeN/AN/A

Memory usage0.7 GB22.0 GB

Memory %2%92%

HW Fit Score Breakdown

smollm2-360m-instruct

Speed

50/50

TTFT

20/20

Memory

30/30

google/gemma-3-27b

Speed

12/50

TTFT

19/20

Memory

4/30

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

google/gemma-3-27b

Reasoning

16/20

Coding

18/20

Instruction

16/20

Structured

15/15

Math

11/15

Multilingual

10/10

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

View smollm2-360m-instr… details | View google/gemma-3-27b 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