mistralai/magistral-small-2509

LM-STUDIO MLX

mistral3 · 24B · 4bit

Good

Mar 4, 2026 · Apple M4

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

LM-STUDIO MLX

qwen3_5 · 27B · MXFP4

Excellent

Aug 20, 2026 · Apple M4 Max

Global Score

74 vs 88

Hardware Fit

66 vs 70

Quality Score

78 vs 96

Hardware

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

MachineMacBook AirMacBook Pro

CPUApple M4Apple M4 Max

Cores1016

RAM32 GB128 GB

GPUApple M4Apple M4 Max

OSmacOS 26.3macOS 26.5.2

Archarm64arm64

Power Modebalancedbalanced

Performance

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

Tokens/sec7.930.4

First chunk1356 ms27 ms

TTFT1.4 s4.4 s

Load timeN/AN/A

Memory usage13.2 GB19.9 GB

Memory %41%16%

HW Fit Score Breakdown

mistralai/magistral-sma…

Speed

16/50

TTFT

20/20

Memory

30/30

qwen3.8-27b-fable-fusio…

Speed

34/50

TTFT

6/20

Memory

30/30

Quality

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

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

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