nvidia/nemotron-3-nano
LM-STUDIO MLXnemotron_h · 30B · 4bit
Mar 4, 2026 · Apple M4
exaone-3.5-2.4b-instruct-mlx
LM-STUDIO MLXexaone · 2.4B · 8bit
Mar 4, 2026 · Apple M4
Global Score
84 vs 75
Hardware Fit
100 vs 100
Quality Score
77 vs 64
Hardware
nvidia/nemotron-3-… exaone-3.5-2.4b-in…
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
nvidia/nemotron-3-… exaone-3.5-2.4b-in…
Tokens/sec47.937.0
First chunk465 ms288 ms
TTFT465 ms288 ms
Load timeN/AN/A
Memory usage16.6 GB2.4 GB
Memory %52%8%
HW Fit Score Breakdown
nvidia/nemotron-3-nano
Speed
50/50
TTFT
20/20
Memory
30/30
exaone-3.5-2.4b-instruc…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
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
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
Run yours and compare
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npm install -g metrillm@latest$
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Or run without installing: npx metrillm@latest