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deepseek-r1:1.5b

OLLAMA GGUF

qwen2 · 1.8B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

qwen3.5-9b

LM-STUDIO GGUF

qwen35 · 9B · Q4_K_S

Excellent

Mar 12, 2026 · Apple M4 Pro

Global Score
66 vs 84
Hardware Fit
100 vs 91
Quality Score
51 vs 81

Hardware

deepseek-r1:1.5b qwen3.5-9b
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
Tokens/sec85.430.2
First chunk115 ms499 ms
TTFT115 ms499 ms
Load time0.5 sN/A
Memory usage2.6 GB6.7 GB
Memory %8%11%

HW Fit Score Breakdown

deepseek-r1:1.5b

Speed
50/50
TTFT
20/20
Memory
30/30

qwen3.5-9b

Speed
41/50
TTFT
20/20
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

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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest