Back to leaderboard

nvidia/nemotron-3-nano

LM-STUDIO MLX

nemotron_h · 30B · 4bit

Excellent

Mar 4, 2026 · Apple M4

smollm2:135m

OLLAMA GGUF

llama · 134.52M · F16

Marginal

Mar 2, 2026 · Apple M4

Global Score
84 vs 41
Hardware Fit
100 vs 100
Quality Score
77 vs 15

Hardware

nvidia/nemotron-3-… smollm2:135m
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-… smollm2:135m
Tokens/sec47.9241.0
First chunk465 msN/A
TTFT465 ms39 ms
Load timeN/A0.4 s
Memory usage16.6 GB0.6 GB
Memory %52%2%

HW Fit Score Breakdown

nvidia/nemotron-3-nano

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

smollm2:135m

Speed
40/50
TTFT
30/20
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

smollm2:135m

Reasoning
4/20
Coding
1/20
Instruction
6/20
Structured
2/15
Math
1/15
Multilingual
1/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor
View nvidia/nemotron-3-… details | View smollm2:135m 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