qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

qwen3.5-9b-mlx

LM-STUDIO MLX

qwen3_5 · 9B · 4bit

Marginal

Mar 11, 2026 · Apple M4

Global Score

81 vs 58

Hardware Fit

95 vs 68

Quality Score

75 vs 54

Hardware

qwen3:8b qwen3.5-9b-mlx

MachineASUSMac mini

CPUIntel Core™ i5-14600KFApple M4

Cores2010

RAM32 GB24 GB

GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M4

OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.3

Archx64arm64

Power Modebalancedbalanced

Performance

qwen3:8b qwen3.5-9b-mlx

Tokens/sec108.316.7

First chunk169 ms23 ms

TTFT169 ms14.1 s

Load time1.7 sN/A

Memory usage5.6 GB7.8 GB

Memory %18%33%

HW Fit Score Breakdown

qwen3:8b

Speed

50/50

TTFT

20/20

Memory

25/30

qwen3.5-9b-mlx

Speed

36/50

TTFT

3/20

Memory

29/30

Quality

qwen3:8b

Reasoning

15/20

Coding

16/20

Instruction

14/20

Structured

14/15

Math

6/15

Multilingual

10/10

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

qwen3.5-9b-mlx

Reasoning

10/20

Coding

16/20

Instruction

4/20

Structured

9/15

Math

10/15

Multilingual

5/10

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

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