qwen3.5-9b
LM-STUDIO GGUFqwen35 · 9B · Q4_K_S
Mar 14, 2026 · Apple M4
deepseek-v2:16b
OLLAMA GGUFdeepseek2 · 15.7B · Q4_0
Mar 2, 2026 · Apple M4
Global Score
72 vs 69
Hardware Fit
51 vs 100
Quality Score
81 vs 55
Hardware
qwen3.5-9b deepseek-v2:16b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5-9b deepseek-v2:16b
Tokens/sec14.456.6
First chunk4 msN/A
TTFT824 ms239 ms
Load timeN/A1.2 s
Memory usage48.3 GB17.7 GB
Memory %151%55%
HW Fit Score Breakdown
qwen3.5-9b
Speed
31/50
TTFT
20/20
Memory
0/30
deepseek-v2:16b
Speed
40/50
TTFT
30/20
Memory
30/30
Quality
qwen3.5-9b
Reasoning
16/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
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