exaone-3.5-2.4b-instruct-mlx

LM-STUDIO MLX

exaone · 2.4B · 8bit

Good

Mar 4, 2026 · Apple M4

qwen3.5-27b-claude-4.6-opus-distilled-mlx

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Not Rec.

Mar 10, 2026 · Apple M4

Global Score

75 vs 34

Hardware Fit

100 vs 21

Quality Score

64 vs 39

Hardware

exaone-3.5-2.4b-in… qwen3.5-27b-claude…

MachineMacBook AirMac mini

CPUApple M4Apple M4

Cores1010

RAM32 GB24 GB

GPUApple M4Apple M4

OSmacOS 26.3macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

exaone-3.5-2.4b-in… qwen3.5-27b-claude…

Tokens/sec37.06.1

First chunk288 ms7 ms

TTFT288 ms22.9 s

Load timeN/AN/A

Memory usage2.4 GB19.8 GB

Memory %8%82%

HW Fit Score Breakdown

exaone-3.5-2.4b-instruc…

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3.5-27b-claude-4.6-…

Speed

12/50

TTFT

0/20

Memory

9/30

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

qwen3.5-27b-claude-4.6-…

Reasoning

1/20

Coding

14/20

Instruction

5/20

Structured

8/15

Math

4/15

Multilingual

7/10

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

View exaone-3.5-2.4b-in… details | View qwen3.5-27b-claude… 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