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exaone-3.5-2.4b-instruct-mlx

LM-STUDIO MLX

exaone · 2.4B · 8bit

Good

Mar 4, 2026 · Apple M4

mistral:latest

OLLAMA GGUF

llama · 7.2B · Q4_K_M

Good

Mar 2, 2026 · Apple M4

Global Score
75 vs 73
Hardware Fit
100 vs 96
Quality Score
64 vs 63

Hardware

exaone-3.5-2.4b-in… mistral:latest
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

exaone-3.5-2.4b-in… mistral:latest
Tokens/sec37.022.5
First chunk288 msN/A
TTFT288 ms257 ms
Load timeN/A0.6 s
Memory usage2.4 GB10.1 GB
Memory %8%32%

HW Fit Score Breakdown

exaone-3.5-2.4b-instruc…

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

mistral:latest

Speed
36/50
TTFT
30/20
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

mistral:latest

Reasoning
8/20
Coding
12/20
Instruction
15/20
Structured
14/15
Math
5/15
Multilingual
9/10
Reasoning: Weak Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
View exaone-3.5-2.4b-in… details | View mistral:latest 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