qwen/qwen3.6-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Oct 22, 2026 · Apple M1 Pro
gemma4:e4b
OLLAMA GGUFgemma4 · 8.0B · Q4_K_M
Apr 3, 2026 · AMD RYZEN AI MAX+ 395
Global Score
80 vs 84
Hardware Fit
56 vs 98
Quality Score
90 vs 78
Hardware
qwen/qwen3.6-27b gemma4:e4b
MachineMacBook ProAZW GTR Pro
CPUApple M1 ProAMD RYZEN AI MAX+ 395
Cores1032
RAM32 GB125 GB
GPUApple M1 ProRadeon 8060S
OSmacOS 15.6.1Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedperformance
Performance
qwen/qwen3.6-27b gemma4:e4b
Tokens/sec10.853.0
First chunk16 ms214 ms
TTFT2.6 s214 ms
Load timeN/A3.1 s
Memory usage21.0 GB15.0 GB
Memory %66%12%
HW Fit Score Breakdown
qwen/qwen3.6-27b
Speed
23/50
TTFT
16/20
Memory
17/30
gemma4:e4b
Speed
48/50
TTFT
20/20
Memory
30/30
Quality
qwen/qwen3.6-27b
Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
13/15
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