qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 8bit
Aug 19, 2026 · Apple M4 Max
gemma4:e4b
OLLAMA GGUFgemma4 · 8.0B · Q4_K_M
Apr 3, 2026 · AMD RYZEN AI MAX+ 395
Global Score
80 vs 84
Hardware Fit
52 vs 98
Quality Score
92 vs 78
Hardware
qwen/qwen3.8-27b gemma4:e4b
MachineMacBook ProAZW GTR Pro
CPUApple M4 MaxAMD RYZEN AI MAX+ 395
Cores1632
RAM128 GB125 GB
GPUApple M4 MaxRadeon 8060S
OSmacOS 26.5.2Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedperformance
Performance
qwen/qwen3.8-27b gemma4:e4b
Tokens/sec16.153.0
First chunk14 ms214 ms
TTFT5.8 s214 ms
Load time8.5 s3.1 s
Memory usage0.0 GB15.0 GB
Memory %0%12%
HW Fit Score Breakdown
qwen/qwen3.8-27b
Speed
17/50
TTFT
5/20
Memory
30/30
gemma4:e4b
Speed
48/50
TTFT
20/20
Memory
30/30
Quality
qwen/qwen3.8-27b
Reasoning
19/20
Coding
16/20
Instruction
17/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
gemma4:e4b
Reasoning
14/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak 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