exaone-3.5-2.4b-instruct-mlx

LM-STUDIO MLX

exaone · 2.4B · 8bit

Good

Mar 4, 2026 · Apple M4

mlx-community/meta-llama-3.1-8b-instruct

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score

75 vs 77

Hardware Fit

100 vs 100

Quality Score

64 vs 67

Hardware

exaone-3.5-2.4b-in… mlx-community/meta…

MachineMacBook AirMac mini

CPUApple M4Apple M4 Pro

Cores1014

RAM32 GB64 GB

GPUApple M4Apple M4 Pro

OSmacOS 26.3macOS 15.7.4

Archarm64arm64

Power Modebalancedbalanced

Performance

exaone-3.5-2.4b-in… mlx-community/meta…

Tokens/sec37.054.3

First chunk288 ms277 ms

TTFT288 ms277 ms

Load timeN/AN/A

Memory usage2.4 GB4.2 GB

Memory %8%7%

HW Fit Score Breakdown

exaone-3.5-2.4b-instruc…

Speed

50/50

TTFT

20/20

Memory

30/30

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

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

mlx-community/meta-llam…

Reasoning

11/20

Coding

14/20

Instruction

14/20

Structured

15/15

Math

4/15

Multilingual

9/10

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

View exaone-3.5-2.4b-in… details | View mlx-community/meta… 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