qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

qwen3.5-27b-claude-4.6-opus-distilled-mlx

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Not Rec.

Mar 10, 2026 · Apple M4

Global Score

81 vs 34

Hardware Fit

95 vs 21

Quality Score

75 vs 39

Hardware

qwen3:8b qwen3.5-27b-claude…

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 qwen3.5-27b-claude…

Tokens/sec108.36.1

First chunk169 ms7 ms

TTFT169 ms22.9 s

Load time1.7 sN/A

Memory usage5.6 GB19.8 GB

Memory %18%82%

HW Fit Score Breakdown

qwen3:8b

Speed

50/50

TTFT

20/20

Memory

25/30

qwen3.5-27b-claude-4.6-…

Speed

12/50

TTFT

0/20

Memory

9/30

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

qwen3.5-27b-claude-4.6-…

Reasoning

1/20

Coding

14/20

Instruction

5/20

Structured

8/15

Math

4/15

Multilingual

7/10

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

View qwen3:8b details | View qwen3.5-27b-claude… 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