google/gemma-4-e4b
LM-STUDIO GGUFgemma4 · Q4_K_M
Jul 7, 2026 · AMD Ryzen 7 5800H
nvidia/nemotron-3-nano
LM-STUDIO MLXnemotron_h · 30B · 4bit
Mar 4, 2026 · Apple M4
Global Score
68 vs 84
Hardware Fit
93 vs 100
Quality Score
57 vs 77
Hardware
google/gemma-4-e4b nvidia/nemotron-3-…
MachineLENOVO 82JQMacBook Air
CPUAMD Ryzen 7 5800HApple M4
Cores1610
RAM16 GB32 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUApple M4
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100macOS 26.3
Archx64arm64
Power Modebalancedbalanced
Performance
google/gemma-4-e4b nvidia/nemotron-3-…
Tokens/sec26.247.9
First chunk17 ms465 ms
TTFT572 ms465 ms
Load timeN/AN/A
Memory usage6.5 GB16.6 GB
Memory %41%52%
HW Fit Score Breakdown
google/gemma-4-e4b
Speed
46/50
TTFT
20/20
Memory
27/30
nvidia/nemotron-3-nano
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
google/gemma-4-e4b
Reasoning
17/20
Coding
19/20
Instruction
4/20
Structured
4/15
Math
12/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Weak Math: Strong Multilingual: Poor
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
Run yours and compare
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npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest