Back to leaderboard

exaone-3.5-2.4b-instruct-mlx

LM-STUDIO MLX

exaone · 2.4B · 8bit

Good

Mar 4, 2026 · Apple M4

cogito:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

Global Score
75 vs 77
Hardware Fit
100 vs 92
Quality Score
64 vs 70

Hardware

exaone-3.5-2.4b-in… cogito:8b
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… cogito:8b
Tokens/sec37.021.0
First chunk288 ms312 ms
TTFT288 ms312 ms
Load timeN/A0.8 s
Memory usage2.4 GB10.4 GB
Memory %8%33%

HW Fit Score Breakdown

exaone-3.5-2.4b-instruc…

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

cogito:8b

Speed
42/50
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

cogito:8b

Reasoning
14/20
Coding
13/20
Instruction
13/20
Structured
15/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View exaone-3.5-2.4b-in… details | View cogito:8b 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