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

LM-STUDIO MLX

qwen3_5 · 27B · MXFP4

Excellent

Aug 20, 2026 · Apple M4 Max

mistralai/magistral-small-2509

LM-STUDIO MLX

mistral3 · 24B · 4bit

Good

Mar 4, 2026 · Apple M4

Global Score

88 vs 74

Hardware Fit

70 vs 66

Quality Score

96 vs 78

Hardware

qwen3.8-27b-fable-… mistralai/magistra…

MachineMacBook ProMacBook Air

CPUApple M4 MaxApple M4

Cores1610

RAM128 GB32 GB

GPUApple M4 MaxApple M4

OSmacOS 26.5.2macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

qwen3.8-27b-fable-… mistralai/magistra…

Tokens/sec30.47.9

First chunk27 ms1356 ms

TTFT4.4 s1.4 s

Load timeN/AN/A

Memory usage19.9 GB13.2 GB

Memory %16%41%

HW Fit Score Breakdown

qwen3.8-27b-fable-fusio…

Speed

34/50

TTFT

6/20

Memory

30/30

mistralai/magistral-sma…

Speed

16/50

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

mistralai/magistral-sma…

Reasoning

14/20

Coding

18/20

Instruction

14/20

Structured

15/15

Math

7/15

Multilingual

10/10

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

View qwen3.8-27b-fable-… details | View mistralai/magistra… 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