deepseek-v2:16b
OLLAMA GGUFdeepseek2 · 15.7B · Q4_0
Mar 2, 2026 · Apple M4
qwen3:14b
OLLAMA GGUFqwen3 · 14.8B · Q4_K_M
Mar 5, 2026 · Apple M1 Max
Global Score
69 vs 58
Hardware Fit
100 vs 82
Quality Score
55 vs 48
Hardware
deepseek-v2:16b qwen3:14b
MachineMacBook AirMacBook Pro
CPUApple M4Apple M1 Max
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M1 Max
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
deepseek-v2:16b qwen3:14b
Tokens/sec56.624.4
First chunkN/A294 ms
TTFT239 ms7.9 s
Load time1.2 s3.7 s
Memory usage17.7 GB13.8 GB
Memory %55%43%
HW Fit Score Breakdown
deepseek-v2:16b
Speed
40/50
TTFT
30/20
Memory
30/30
qwen3:14b
Speed
47/50
TTFT
5/20
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
qwen3:14b
Reasoning
13/20
Coding
6/20
Instruction
10/20
Structured
9/15
Math
2/15
Multilingual
8/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Poor 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