qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

qwen3.8-27b-mlx

LM-STUDIO UNKNOWN

27B

Good

Aug 17, 2026 · Apple M5 Max

Global Score

81 vs 66

Hardware Fit

96 vs 91

Quality Score

75 vs 55

Hardware

qwen3:8b qwen3.8-27b-mlx

MachineASUSMacBook Pro

CPUIntel Core™ i5-14600KFApple M5 Max

Cores2018

RAM32 GB64 GB

GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M5 Max

OSMicrosoft Windows 11 Famille 10.0.26200macOS 27.0

Archx64arm64

Power Modebalancedbalanced

Performance

qwen3:8b qwen3.8-27b-mlx

Tokens/sec109.133.2

First chunk190 ms7 ms

TTFT190 ms311 ms

Load time4.3 sN/A

Memory usage5.6 GB0.5 GB

Memory %18%1%

HW Fit Score Breakdown

qwen3:8b

Speed

50/50

TTFT

20/20

Memory

26/30

qwen3.8-27b-mlx

Speed

41/50

TTFT

20/20

Memory

30/30

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

qwen3.8-27b-mlx

Reasoning

19/20

Coding

13/20

Instruction

6/20

Structured

0/15

Math

14/15

Multilingual

3/10

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

View qwen3:8b details | View qwen3.8-27b-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