gemma4:e4b-it-q8_0
OLLAMA GGUFgemma4 · 8.0B · Q8_0
Aug 25, 2026 · Apple M1 Pro
qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Aug 19, 2026 · Apple M4 Max
Global Score
88 vs 83
Hardware Fit
100 vs 68
Quality Score
83 vs 90
Hardware
gemma4:e4b-it-q8_0 qwen/qwen3.8-27b
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M4 Max
Cores1016
RAM16 GB128 GB
GPUApple M1 ProApple M4 Max
OSmacOS 26.6.2macOS 26.5.2
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:e4b-it-q8_0 qwen/qwen3.8-27b
Tokens/sec27.827.6
First chunk204 ms10 ms
TTFT204 ms4.6 s
Load time6.6 sN/A
Memory usage5.0 GB21.0 GB
Memory %31%16%
HW Fit Score Breakdown
gemma4:e4b-it-q8_0
Speed
50/50
TTFT
20/20
Memory
30/30
qwen/qwen3.8-27b
Speed
32/50
TTFT
6/20
Memory
30/30
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
qwen/qwen3.8-27b
Reasoning
19/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate 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