deepseek-v2:16b
OLLAMA GGUFdeepseek2 · 15.7B · Q4_0
Mar 2, 2026 · Apple M4
qwen3.5-27b
LM-STUDIO GGUFqwen35 · 27B · Q4_K_M
Mar 6, 2026 · Apple M4 Pro
Global Score
69 vs 26
Hardware Fit
100 vs 63
Quality Score
55 vs 10
Hardware
deepseek-v2:16b qwen3.5-27b
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM32 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
deepseek-v2:16b qwen3.5-27b
Tokens/sec56.69.5
First chunkN/A1099 ms
TTFT239 ms1.1 s
Load time1.2 sN/A
Memory usage17.7 GB16.3 GB
Memory %55%25%
HW Fit Score Breakdown
deepseek-v2:16b
Speed
40/50
TTFT
30/20
Memory
30/30
qwen3.5-27b
Speed
13/50
TTFT
20/20
Memory
30/30
Quality
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
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
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