nvidia/nemotron-3-nano
LM-STUDIO MLXnemotron_h · 30B · 4bit
Mar 4, 2026 · Apple M4
gemma4:12b
OLLAMA GGUFgemma4 · 11.9B · Q4_K_M
Jul 4, 2026 · Apple M2 Pro
Global Score
84 vs 89
Hardware Fit
100 vs 88
Quality Score
77 vs 89
Hardware
nvidia/nemotron-3-… gemma4:12b
MachineMacBook AirMacBook Pro
CPUApple M4Apple M2 Pro
Cores1010
RAM32 GB16 GB
GPUApple M4Apple M2 Pro
OSmacOS 26.3macOS 26.5
Archarm64arm64
Power Modebalancedbalanced
Performance
nvidia/nemotron-3-… gemma4:12b
Tokens/sec47.918.4
First chunk465 ms758 ms
TTFT465 ms758 ms
Load timeN/A0.3 s
Memory usage16.6 GB7.5 GB
Memory %52%47%
HW Fit Score Breakdown
nvidia/nemotron-3-nano
Speed
50/50
TTFT
20/20
Memory
30/30
gemma4:12b
Speed
42/50
TTFT
20/20
Memory
26/30
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
gemma4:12b
Reasoning
17/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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