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exaone-3.5-2.4b-instruct-mlx

LM-STUDIO MLX

exaone · 2.4B · 8bit

Good

Mar 4, 2026 · Apple M4

qwen3.6:27b

OLLAMA GGUF

qwen35 · 27.8B · Q4_K_M

Not Rec.

Jun 25, 2026 · Apple M4 Pro

Global Score
75 vs 20
Hardware Fit
100 vs 34
Quality Score
64 vs 14

Hardware

exaone-3.5-2.4b-in… qwen3.6:27b
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1012
RAM32 GB24 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.6.1
Archarm64arm64
Power Modebalancedbalanced

Performance

exaone-3.5-2.4b-in… qwen3.6:27b
Tokens/sec37.010.6
First chunk288 ms1344 ms
TTFT288 ms30.0 s
Load timeN/A0.2 s
Memory usage2.4 GB18.1 GB
Memory %8%75%

HW Fit Score Breakdown

exaone-3.5-2.4b-instruc…

Speed
50/50
TTFT
20/20
Memory
30/30

qwen3.6:27b

Speed
22/50
TTFT
0/20
Memory
12/30

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

qwen3.6:27b

Reasoning
2/20
Coding
1/20
Instruction
2/20
Structured
1/15
Math
2/15
Multilingual
6/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Adequate
View exaone-3.5-2.4b-in… details | View qwen3.6:27b 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