gemma-3-27b-it-qat

LM-STUDIO MLX

gemma3 · 27B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Good

Mar 2, 2026 · Apple M4

Global Score

76 vs 75

Hardware Fit

51 vs 93

Quality Score

87 vs 67

Hardware

gemma-3-27b-it-qat llama3.1:8b

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 llama3.1:8b

Tokens/sec8.920.3

First chunk3976 msN/A

TTFT4.0 s315 ms

Load timeN/A1.1 s

Memory usage15.7 GB10.4 GB

Memory %25%33%

HW Fit Score Breakdown

gemma-3-27b-it-qat

Speed

12/50

TTFT

9/20

Memory

30/30

llama3.1:8b

Speed

33/50

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

llama3.1:8b

Reasoning

12/20

Coding

15/20

Instruction

13/20

Structured

13/15

Math

4/15

Multilingual

10/10

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

View gemma-3-27b-it-qat details | View llama3.1:8b 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