gemma-3-27b-it-qat

LM-STUDIO MLX

gemma3 · 27B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

mistral-nemo:12b

OLLAMA GGUF

llama · 12.2B · Q4_0

Good

Mar 1, 2026 · Apple M4

Global Score

76 vs 71

Hardware Fit

51 vs 86

Quality Score

87 vs 65

Hardware

gemma-3-27b-it-qat mistral-nemo:12b

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 mistral-nemo:12b

Tokens/sec8.914.6

First chunk3976 msN/A

TTFT4.0 s371 ms

Load timeN/A1.0 s

Memory usage15.7 GB13.3 GB

Memory %25%42%

HW Fit Score Breakdown

gemma-3-27b-it-qat

Speed

12/50

TTFT

9/20

Memory

30/30

mistral-nemo:12b

Speed

26/50

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

mistral-nemo:12b

Reasoning

12/20

Coding

13/20

Instruction

11/20

Structured

15/15

Math

4/15

Multilingual

10/10

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

View gemma-3-27b-it-qat details | View mistral-nemo:12b 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