qwen3.8-27b-fable-fusion-f711-gain-mlx

LM-STUDIO MLX

qwen3_5 · 27B · MXFP4

Excellent

Aug 20, 2026 · Apple M4 Max

mlx-community/meta-llama-3.1-8b-instruct

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score

88 vs 77

Hardware Fit

70 vs 100

Quality Score

96 vs 67

Hardware

qwen3.8-27b-fable-… mlx-community/meta…

MachineMacBook ProMac mini

CPUApple M4 MaxApple M4 Pro

Cores1614

RAM128 GB64 GB

GPUApple M4 MaxApple M4 Pro

OSmacOS 26.5.2macOS 15.7.4

Archarm64arm64

Power Modebalancedbalanced

Performance

qwen3.8-27b-fable-… mlx-community/meta…

Tokens/sec30.454.3

First chunk27 ms277 ms

TTFT4.4 s277 ms

Load timeN/AN/A

Memory usage19.9 GB4.2 GB

Memory %16%7%

HW Fit Score Breakdown

qwen3.8-27b-fable-fusio…

Speed

34/50

TTFT

6/20

Memory

30/30

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

Quality

qwen3.8-27b-fable-fusio…

Reasoning

19/20

Coding

19/20

Instruction

18/20

Structured

15/15

Math

15/15

Multilingual

10/10

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

mlx-community/meta-llam…

Reasoning

11/20

Coding

14/20

Instruction

14/20

Structured

15/15

Math

4/15

Multilingual

9/10

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

View qwen3.8-27b-fable-… details | View mlx-community/meta… 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