exaone-3.5-2.4b-instruct-mlx
LM-STUDIO MLXexaone · 2.4B · 8bit
Mar 4, 2026 · Apple M4
nvidia/nemotron-3-nano
LM-STUDIO MLXnemotron_h · 30B · 4bit
Mar 4, 2026 · Apple M4
Global Score
75 vs 84
Hardware Fit
100 vs 100
Quality Score
64 vs 77
Hardware
exaone-3.5-2.4b-in… nvidia/nemotron-3-…
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… nvidia/nemotron-3-…
Tokens/sec37.047.9
First chunk288 ms465 ms
TTFT288 ms465 ms
Load timeN/AN/A
Memory usage2.4 GB16.6 GB
Memory %8%52%
HW Fit Score Breakdown
exaone-3.5-2.4b-instruc…
Speed
50/50
TTFT
20/20
Memory
30/30
nvidia/nemotron-3-nano
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
nvidia/nemotron-3-nano
Reasoning
13/20
Coding
18/20
Instruction
14/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest