exaone-3.5-2.4b-instruct-mlx

LM-STUDIO MLX

exaone · 2.4B · 8bit

Good

Mar 4, 2026 · Apple M4

google/gemma-4-12b-it-qat

LM-STUDIO GGUF

gemma4 · 12B · Q4_0

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score

75 vs 74

Hardware Fit

100 vs 46

Quality Score

64 vs 86

Hardware

exaone-3.5-2.4b-in… google/gemma-4-12b…

MachineMacBook AirDocker Container

CPUApple M4Intel Gen Intel® Core™ i9-11900H

Cores1016

RAM32 GB15 GB

GPUApple M4TigerLake-H GT1 [UHD Graphics]

OSmacOS 26.3Ubuntu 26.04 LTS

Archarm64x64

Power Modebalancedperformance

Performance

exaone-3.5-2.4b-in… google/gemma-4-12b…

Tokens/sec37.05.0

First chunk288 ms64 ms

TTFT288 ms5.5 s

Load timeN/A9.5 s

Memory usage2.4 GB0.0 GB

Memory %8%0%

HW Fit Score Breakdown

exaone-3.5-2.4b-instruc…

Speed

50/50

TTFT

20/20

Memory

30/30

google/gemma-4-12b-it-qat

Speed

9/50

TTFT

7/20

Memory

30/30

Quality

exaone-3.5-2.4b-instruc…

Reasoning

9/20

Coding

13/20

Instruction

15/20

Structured

14/15

Math

5/15

Multilingual

8/10

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

google/gemma-4-12b-it-qat

Reasoning

16/20

Coding

19/20

Instruction

16/20

Structured

15/15

Math

11/15

Multilingual

9/10

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

View exaone-3.5-2.4b-in… details | View google/gemma-4-12b… 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