qwen3.5:9b-q8_0

OLLAMA GGUF

qwen35 · 9.7B · Q8_0

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

codellama:7b

OLLAMA GGUF

llama · 7B · Q4_0

Good

Mar 1, 2026 · Apple M4

Global Score

86 vs 63

Hardware Fit

100 vs 97

Quality Score

80 vs 49

Hardware

qwen3.5:9b-q8_0 codellama:7b

MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4MacBook Air

CPUIntel Core™ i5-14400FApple M4

Cores1610

RAM32 GB32 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 codellama:7b

Tokens/sec37.723.6

First chunk120 msN/A

TTFT120 ms297 ms

Load time8.3 s0.9 s

Memory usage8.4 GB12.6 GB

Memory %26%39%

HW Fit Score Breakdown

qwen3.5:9b-q8_0

Speed

50/50

TTFT

20/20

Memory

30/30

codellama:7b

Speed

37/50

TTFT

30/20

Memory

30/30

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

codellama:7b

Reasoning

6/20

Coding

7/20

Instruction

12/20

Structured

13/15

Math

3/15

Multilingual

8/10

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

View qwen3.5:9b-q8_0 details | View codellama:7b 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