deepseek-r1:1.5b
OLLAMA GGUFqwen2 · 1.8B · Q4_K_M
Mar 6, 2026 · Apple M4
qwen3.5-9b
LM-STUDIO GGUFqwen35 · 9B · Q4_K_S
Mar 14, 2026 · Apple M4
Global Score
66 vs 72
Hardware Fit
100 vs 51
Quality Score
51 vs 81
Hardware
deepseek-r1:1.5b qwen3.5-9b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
deepseek-r1:1.5b qwen3.5-9b
Tokens/sec85.414.4
First chunk115 ms4 ms
TTFT115 ms824 ms
Load time0.5 sN/A
Memory usage2.6 GB48.3 GB
Memory %8%151%
HW Fit Score Breakdown
deepseek-r1:1.5b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.5-9b
Speed
31/50
TTFT
20/20
Memory
0/30
Quality
deepseek-r1:1.5b
Reasoning
14/20
Coding
4/20
Instruction
8/20
Structured
6/15
Math
14/15
Multilingual
5/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Strong Multilingual: Adequate
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
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