Back to leaderboard

nvidia/nemotron-3-nano

LM-STUDIO MLX

nemotron_h · 30B · 4bit

Excellent

Mar 4, 2026 · Apple M4

qwen3.5:2b

OLLAMA GGUF

qwen35 · 2.3B · Q8_0

Good

Mar 2, 2026 · Apple M4

Global Score
84 vs 73
Hardware Fit
100 vs 100
Quality Score
77 vs 62

Hardware

nvidia/nemotron-3-… qwen3.5:2b
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-… qwen3.5:2b
Tokens/sec47.930.4
First chunk465 msN/A
TTFT465 ms215 ms
Load timeN/A1.8 s
Memory usage16.6 GB4.5 GB
Memory %52%14%

HW Fit Score Breakdown

nvidia/nemotron-3-nano

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

qwen3.5:2b

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

qwen3.5:2b

Reasoning
12/20
Coding
10/20
Instruction
13/20
Structured
14/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

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