qwen3.8-27b-fable-fusion-f711-gain-mlx
LM-STUDIO MLXqwen3_5 · 27B · MXFP4
Aug 20, 2026 · Apple M4 Max
Qwen3-80B:80B
OLLAMA GGUFqwen3next · 79.7B · Q4_K_M
Aug 19, 2026 · Intel Core™ Ultra X7 358H
Global Score
88 vs 82
Hardware Fit
70 vs 59
Quality Score
96 vs 92
Hardware
qwen3.8-27b-fable-… Qwen3-80B:80B
MachineMacBook ProGMKtec NucBox EVO-T2S
CPUApple M4 MaxIntel Core™ Ultra X7 358H
Cores1616
RAM128 GB64 GB
GPUApple M4 MaxIntel(R) Arc(TM) B390 GPU
OSmacOS 26.5.2Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3.8-27b-fable-… Qwen3-80B:80B
Tokens/sec30.419.3
First chunk27 ms798 ms
TTFT4.4 s798 ms
Load timeN/A38.9 s
Memory usage19.9 GB46.9 GB
Memory %16%74%
HW Fit Score Breakdown
qwen3.8-27b-fable-fusio…
Speed
34/50
TTFT
6/20
Memory
30/30
Qwen3-80B:80B
Speed
26/50
TTFT
20/20
Memory
13/30
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
Qwen3-80B:80B
Reasoning
18/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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