qwen3.8-27b-fable-fusion-f711-gain-mlx
LM-STUDIO MLXqwen3_5 · 27B · MXFP4
Aug 20, 2026 · Apple M4 Max
qwen2-57b:57B
OLLAMA GGUFqwen2moe · 57.4B · Q4_K_M
Aug 18, 2026 · Intel Core™ Ultra X7 358H
Global Score
88 vs 67
Hardware Fit
70 vs 51
Quality Score
96 vs 74
Hardware
qwen3.8-27b-fable-… qwen2-57b:57B
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-… qwen2-57b:57B
Tokens/sec30.48.6
First chunk27 ms1573 ms
TTFT4.4 s1.6 s
Load timeN/A29.0 s
Memory usage19.9 GB32.8 GB
Memory %16%52%
HW Fit Score Breakdown
qwen3.8-27b-fable-fusio…
Speed
34/50
TTFT
6/20
Memory
30/30
qwen2-57b:57B
Speed
10/50
TTFT
17/20
Memory
24/30
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
qwen2-57b:57B
Reasoning
13/20
Coding
14/20
Instruction
15/20
Structured
14/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong 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