qwen3.5-27b
LM-STUDIO GGUFqwen35 · 27B · Q4_K_M
Mar 6, 2026 · Apple M4 Pro
deepseek-v2:16b
OLLAMA GGUFdeepseek2 · 15.7B · Q4_0
Mar 2, 2026 · Apple M4
Global Score
26 vs 69
Hardware Fit
63 vs 100
Quality Score
10 vs 55
Hardware
qwen3.5-27b deepseek-v2:16b
MachineMac miniMacBook Air
CPUApple M4 ProApple M4
Cores1410
RAM64 GB32 GB
GPUApple M4 ProApple M4
OSmacOS 15.7.4macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5-27b deepseek-v2:16b
Tokens/sec9.556.6
First chunk1099 msN/A
TTFT1.1 s239 ms
Load timeN/A1.2 s
Memory usage16.3 GB17.7 GB
Memory %25%55%
HW Fit Score Breakdown
qwen3.5-27b
Speed
13/50
TTFT
20/20
Memory
30/30
deepseek-v2:16b
Speed
40/50
TTFT
30/20
Memory
30/30
Quality
qwen3.5-27b
Reasoning
0/20
Coding
0/20
Instruction
2/20
Structured
0/15
Math
1/15
Multilingual
7/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Adequate
deepseek-v2:16b
Reasoning
7/20
Coding
9/20
Instruction
13/20
Structured
10/15
Math
8/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Adequate 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