aya:8b

OLLAMA GGUF

command-r · 8.0B · F16

Good

Mar 1, 2026 · Apple M4

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score

66 vs 85

Hardware Fit

92 vs 96

Quality Score

55 vs 80

Hardware

aya:8b qwen3.5:9b

MachineMacBook AirASUS

CPUApple M4Intel Core™ i5-14600KF

Cores1020

RAM32 GB32 GB

GPUApple M4NVIDIA GeForce RTX 4070 Ti SUPER

OSmacOS 26.3Microsoft Windows 11 Famille 10.0.26200

Archarm64x64

Power Modebalancedbalanced

Performance

aya:8b qwen3.5:9b

Tokens/sec20.088.6

First chunkN/A306 ms

TTFT300 ms306 ms

Load time0.9 s7.0 s

Memory usage6.0 GB8.1 GB

Memory %19%25%

HW Fit Score Breakdown

aya:8b

Speed

32/50

TTFT

30/20

Memory

30/30

qwen3.5:9b

Speed

50/50

TTFT

20/20

Memory

26/30

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

14/20

Coding

16/20

Instruction

15/20

Structured

15/15

Math

10/15

Multilingual

10/10

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