qwen3.5:9b-q8_0

OLLAMA GGUF

qwen35 · 9.7B · Q8_0

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

google/gemma-3-27b

LM-STUDIO MLX

gemma3 · 27B · 4bit

Not Rec.

Mar 19, 2026 · Apple M4

Global Score

86 vs 71

Hardware Fit

100 vs 35

Quality Score

80 vs 86

Hardware

qwen3.5:9b-q8_0 google/gemma-3-27b

MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4Mac mini

CPUIntel Core™ i5-14400FApple M4

Cores1610

RAM32 GB24 GB

GPUNVIDIA GeForce RTX 5060 TiApple M4

OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 26.3

Archx64arm64

Power Modebalancedbalanced

Performance

qwen3.5:9b-q8_0 google/gemma-3-27b

Tokens/sec37.75.9

First chunk120 ms19 ms

TTFT120 ms1.8 s

Load time8.3 sN/A

Memory usage8.4 GB22.0 GB

Memory %26%92%

HW Fit Score Breakdown

qwen3.5:9b-q8_0

Speed

50/50

TTFT

20/20

Memory

30/30

google/gemma-3-27b

Speed

12/50

TTFT

19/20

Memory

4/30

Quality

qwen3.5:9b-q8_0

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

google/gemma-3-27b

Reasoning

16/20

Coding

18/20

Instruction

16/20

Structured

15/15

Math

11/15

Multilingual

10/10

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

View qwen3.5:9b-q8_0 details | View google/gemma-3-27b 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