smollm2-360m-instruct

LM-STUDIO MLX

llama · 360M · bf16

Marginal

Mar 4, 2026 · Apple M4

gemma-3-27b-it-qat

LM-STUDIO MLX

gemma3 · 27B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score

52 vs 76

Hardware Fit

100 vs 51

Quality Score

32 vs 87

Hardware

smollm2-360m-instr… gemma-3-27b-it-qat

MachineMacBook AirMac mini

CPUApple M4Apple M4 Pro

Cores1014

RAM32 GB64 GB

GPUApple M4Apple M4 Pro

OSmacOS 26.3macOS 15.7.4

Archarm64arm64

Power Modebalancedbalanced

Performance

smollm2-360m-instr… gemma-3-27b-it-qat

Tokens/sec121.18.9

First chunk106 ms3976 ms

TTFT106 ms4.0 s

Load timeN/AN/A

Memory usage0.7 GB15.7 GB

Memory %2%25%

HW Fit Score Breakdown

smollm2-360m-instruct

Speed

50/50

TTFT

20/20

Memory

30/30

gemma-3-27b-it-qat

Speed

12/50

TTFT

9/20

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

gemma-3-27b-it-qat

Reasoning

16/20

Coding

18/20

Instruction

17/20

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 gemma-3-27b-it-qat 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