qwen/qwen3.6-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Oct 22, 2026 · Apple M1 Pro
granite4.2:3b
OLLAMA GGUFgranite · 3.7B · Q4_K_M
Aug 29, 2026 · Apple M1 Pro
Global Score
80 vs 80
Hardware Fit
56 vs 80
Quality Score
90 vs 80
Hardware
qwen/qwen3.6-27b granite4.2:3b
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M1 Pro
Cores1010
RAM32 GB16 GB
GPUApple M1 ProApple M1 Pro
OSmacOS 15.6.1macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen/qwen3.6-27b granite4.2:3b
Tokens/sec10.846.8
First chunk16 ms135 ms
TTFT2.6 s135 ms
Load timeN/A0.0 s
Memory usage21.0 GB12.7 GB
Memory %66%79%
HW Fit Score Breakdown
qwen/qwen3.6-27b
Speed
23/50
TTFT
16/20
Memory
17/30
granite4.2:3b
Speed
50/50
TTFT
20/20
Memory
10/30
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
granite4.2:3b
Reasoning
18/20
Coding
13/20
Instruction
12/20
Structured
15/15
Math
14/15
Multilingual
8/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate 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