qwen3.8-27b-fable-fusion-f711-gain-mlx
LM-STUDIO MLXqwen3_5 · 27B · MXFP4
Aug 20, 2026 · Apple M4 Max
qwen3-4b-qwen3.6-plus-reasoning-distilled
LM-STUDIO GGUFqwen3 · 4B · Q4_1
Apr 21, 2026 · Apple M2 Max
Global Score
88 vs 65
Hardware Fit
70 vs 96
Quality Score
96 vs 51
Hardware
qwen3.8-27b-fable-… qwen3-4b-qwen3.6-p…
MachineMacBook ProMac Studio
CPUApple M4 MaxApple M2 Max
Cores1612
RAM128 GB96 GB
GPUApple M4 MaxApple M2 Max
OSmacOS 26.5.2macOS 26.1
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.8-27b-fable-… qwen3-4b-qwen3.6-p…
Tokens/sec30.499.6
First chunk27 ms18 ms
TTFT4.4 s1.6 s
Load timeN/A4.8 s
Memory usage19.9 GB0.3 GB
Memory %16%0%
HW Fit Score Breakdown
qwen3.8-27b-fable-fusio…
Speed
34/50
TTFT
6/20
Memory
30/30
qwen3-4b-qwen3.6-plus-r…
Speed
50/50
TTFT
16/20
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
qwen3-4b-qwen3.6-plus-r…
Reasoning
8/20
Coding
4/20
Instruction
14/20
Structured
9/15
Math
8/15
Multilingual
8/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest