gemma-3-27b-it-qat

LM-STUDIO MLX

gemma3 · 27B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

smollm2:360m

OLLAMA GGUF

llama · 361.82M · F16

Marginal

Mar 2, 2026 · Apple M4

Global Score

76 vs 52

Hardware Fit

51 vs 100

Quality Score

87 vs 32

Hardware

gemma-3-27b-it-qat smollm2:360m

MachineMac miniMacBook Air

CPUApple M4 ProApple M4

Cores1410

RAM64 GB32 GB

GPUApple M4 ProApple M4

OSmacOS 15.7.4macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

gemma-3-27b-it-qat smollm2:360m

Tokens/sec8.9117.9

First chunk3976 msN/A

TTFT4.0 s43 ms

Load timeN/A0.4 s

Memory usage15.7 GB1.2 GB

Memory %25%4%

HW Fit Score Breakdown

gemma-3-27b-it-qat

Speed

12/50

TTFT

9/20

Memory

30/30

smollm2:360m

Speed

40/50

TTFT

30/20

Memory

30/30

Quality

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

smollm2:360m

Reasoning

4/20

Coding

2/20

Instruction

10/20

Structured

9/15

Math

4/15

Multilingual

3/10

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

View gemma-3-27b-it-qat details | View smollm2:360m 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