mistral-nemo:12b
OLLAMA GGUFllama · 12.2B · Q4_0
Mar 1, 2026 · Apple M4
google/gemma-4-e4b
LM-STUDIO GGUFgemma4 · Q4_K_M
Jul 7, 2026 · AMD Ryzen 7 5800H
Global Score
71 vs 62
Hardware Fit
86 vs 77
Quality Score
65 vs 55
Hardware
mistral-nemo:12b google/gemma-4-e4b
MachineMacBook AirLENOVO 82JQ
CPUApple M4AMD Ryzen 7 5800H
Cores1016
RAM32 GB16 GB
GPUApple M4NVIDIA GeForce RTX 3060 Laptop GPU
OSmacOS 26.3Microsoft Windows 11 家庭版 中文版 10.0.26100
Archarm64x64
Power Modebalancedbalanced
Performance
mistral-nemo:12b google/gemma-4-e4b
Tokens/sec14.627.6
First chunkN/A23 ms
TTFT371 ms480 ms
Load time1.0 sN/A
Memory usage13.3 GB13.2 GB
Memory %42%83%
HW Fit Score Breakdown
mistral-nemo:12b
Speed
26/50
TTFT
30/20
Memory
30/30
google/gemma-4-e4b
Speed
48/50
TTFT
20/20
Memory
9/30
Quality
mistral-nemo:12b
Reasoning
12/20
Coding
13/20
Instruction
11/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
google/gemma-4-e4b
Reasoning
18/20
Coding
17/20
Instruction
5/20
Structured
3/15
Math
11/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor
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