gemma4:e4b-it-q8_0
OLLAMA GGUFgemma4 · 8.0B · Q8_0
Aug 25, 2026 · Apple M1 Pro
Qwen3-80B:80B
OLLAMA GGUFqwen3next · 79.7B · Q4_K_M
Aug 24, 2026 · Intel Core™ Ultra X7 358H
Global Score
88 vs 82
Hardware Fit
100 vs 59
Quality Score
83 vs 92
Hardware
gemma4:e4b-it-q8_0 Qwen3-80B:80B
MachineMacBook ProGMKtec NucBox EVO-T2S
CPUApple M1 ProIntel Core™ Ultra X7 358H
Cores1016
RAM16 GB64 GB
GPUApple M1 ProIntel(R) Arc(TM) B390 GPU
OSmacOS 26.6.2Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
gemma4:e4b-it-q8_0 Qwen3-80B:80B
Tokens/sec27.819.6
First chunk204 ms823 ms
TTFT204 ms823 ms
Load time6.6 s41.6 s
Memory usage5.0 GB46.9 GB
Memory %31%74%
HW Fit Score Breakdown
gemma4:e4b-it-q8_0
Speed
50/50
TTFT
20/20
Memory
30/30
Qwen3-80B:80B
Speed
26/50
TTFT
20/20
Memory
13/30
Quality
gemma4:e4b-it-q8_0
Reasoning
14/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
Qwen3-80B:80B
Reasoning
18/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
13/15
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