deepseek-r1:1.5b
OLLAMA GGUFqwen2 · 1.8B · Q4_K_M
Mar 6, 2026 · Apple M4
qwen3.5-9b-mlx
LM-STUDIO MLXqwen3_5 · 9B · 4bit
Mar 12, 2026 · Apple M4 Pro
Global Score
66 vs 77
Hardware Fit
100 vs 67
Quality Score
51 vs 81
Hardware
deepseek-r1:1.5b qwen3.5-9b-mlx
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-r1:1.5b qwen3.5-9b-mlx
Tokens/sec85.420.3
First chunk115 ms4216 ms
TTFT115 ms4.2 s
Load time0.5 sN/A
Memory usage2.6 GB5.6 GB
Memory %8%9%
HW Fit Score Breakdown
deepseek-r1:1.5b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.5-9b-mlx
Speed
29/50
TTFT
8/20
Memory
30/30
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-mlx
Reasoning
15/20
Coding
18/20
Instruction
16/20
Structured
14/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate 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