qwen3.5-9b

LM-STUDIO MLX

qwen3_5 · 9B · 4bit

Excellent

Mar 3, 2026 · Apple M4

llama3.2:1b

OLLAMA GGUF

llama · 1.2B · Q8_0

Good

Jun 26, 2026 · Cortex-A78AE

Global Score

81 vs 63

Hardware Fit

84 vs 100

Quality Score

79 vs 47

Hardware

qwen3.5-9b llama3.2:1b

MachineMacBook AirNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super

CPUApple M4Cortex-A78AE

Cores106

RAM32 GB7 GB

GPUApple M4Integrated / Unknown

OSmacOS 26.3Ubuntu 22.04.5 LTS

Archarm64arm64

Power Modebalancedbalanced

Performance

qwen3.5-9b llama3.2:1b

Tokens/sec20.440.2

First chunk3034 ms1087 ms

TTFT3.0 s1.1 s

Load timeN/A6.2 s

Memory usage5.6 GB1.4 GB

Memory %17%19%

HW Fit Score Breakdown

qwen3.5-9b

Speed

41/50

TTFT

14/20

Memory

29/30

llama3.2:1b

Speed

50/50

TTFT

20/20

Memory

30/30

Quality

qwen3.5-9b

Reasoning

14/20

Coding

15/20

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

llama3.2:1b

Reasoning

4/20

Coding

9/20

Instruction

14/20

Structured

13/15

Math

1/15

Multilingual

6/10

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

View qwen3.5-9b details | View llama3.2:1b 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