aya:8b

OLLAMA GGUF

command-r · 8.0B · F16

Good

Mar 1, 2026 · Apple M4

qwen3.5-9b

LM-STUDIO GGUF

qwen35 · 9B · Q4_K_M

Good

Mar 6, 2026 · Apple M4 Pro

Global Score

66 vs 72

Hardware Fit

92 vs 89

Quality Score

55 vs 65

Hardware

aya:8b 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

aya:8b qwen3.5-9b

Tokens/sec20.028.9

First chunkN/A338 ms

TTFT300 ms338 ms

Load time0.9 sN/A

Memory usage6.0 GB6.1 GB

Memory %19%10%

HW Fit Score Breakdown

aya:8b

Speed

32/50

TTFT

30/20

Memory

30/30

qwen3.5-9b

Speed

39/50

TTFT

20/20

Memory

30/30

Quality

aya:8b

Reasoning

10/20

Coding

6/20

Instruction

13/20

Structured

15/15

Math

2/15

Multilingual

9/10

Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

qwen3.5-9b

Reasoning

17/20

Coding

15/20

Instruction

6/20

Structured

7/15

Math

12/15

Multilingual

8/10

Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Weak Math: Strong Multilingual: Strong

View aya:8b details | View qwen3.5-9b details

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