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exaone-3.5-2.4b-instruct-mlx

LM-STUDIO MLX

exaone · 2.4B · 8bit

Good

Mar 4, 2026 · Apple M4

nvidia-nemotron-3-nano-4b

LM-STUDIO GGUF

nemotron_h · 4B · Q4_K_M

Excellent

Oct 24, 2026 · Intel Core™ i3-9100F

Global Score
75 vs 83
Hardware Fit
100 vs 100
Quality Score
64 vs 75

Hardware

exaone-3.5-2.4b-in… nvidia-nemotron-3-…
MachineMacBook AirGigabyte Technology Co., Ltd. H310M S2 2.0
CPUApple M4Intel Core™ i3-9100F
Cores104
RAM32 GB16 GB
GPUApple M4Virtual Desktop Monitor, NVIDIA GeForce GTX 1650
OSmacOS 26.3Майкрософт Windows 10 Pro 10.0.19045
Archarm64x64
Power Modebalancedbalanced

Performance

exaone-3.5-2.4b-in… nvidia-nemotron-3-…
Tokens/sec37.028.9
First chunk288 ms22 ms
TTFT288 ms580 ms
Load timeN/AN/A
Memory usage2.4 GB3.8 GB
Memory %8%24%

HW Fit Score Breakdown

exaone-3.5-2.4b-instruc…

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

nvidia-nemotron-3-nano-4b

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-4b

Reasoning
15/20
Coding
12/20
Instruction
16/20
Structured
14/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View exaone-3.5-2.4b-in… details | View nvidia-nemotron-3-… 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