gemma-3-27b-it-qat

LM-STUDIO MLX

gemma3 · 27B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

mistral-small:24b

OLLAMA GGUF

llama · 23.6B · Q4_K_M

Good

Jun 26, 2026 · Cortex-X925

Global Score

76 vs 75

Hardware Fit

51 vs 64

Quality Score

87 vs 80

Hardware

gemma-3-27b-it-qat mistral-small:24b

MachineMac miniNVIDIA NVIDIA_DGX_Spark

CPUApple M4 ProCortex-X925

Cores1420

RAM64 GB122 GB

GPUApple M4 ProDevice 2e12

OSmacOS 15.7.4Ubuntu 24.04.4 LTS

Archarm64arm64

Power Modebalancedperformance

Performance

gemma-3-27b-it-qat mistral-small:24b

Tokens/sec8.914.3

First chunk3976 ms327 ms

TTFT4.0 s327 ms

Load timeN/A12.0 s

Memory usage15.7 GB18.5 GB

Memory %25%15%

HW Fit Score Breakdown

gemma-3-27b-it-qat

Speed

12/50

TTFT

9/20

Memory

30/30

mistral-small:24b

Speed

14/50

TTFT

20/20

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-small:24b

Reasoning

16/20

Coding

18/20

Instruction

14/20

Structured

13/15

Math

9/15

Multilingual

10/10

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

View gemma-3-27b-it-qat details | View mistral-small:24b 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