qwen3.8-27b-fable-fusion-f711-gain-mlx
LM-STUDIO MLXqwen3_5 · 27B · MXFP4
Aug 20, 2026 · Apple M4 Max
qwen2.5:1.5b
OLLAMA GGUFqwen2 · 1.5B · Q4_K_M
Mar 16, 2026 · Intel Core™ i7-4771
Global Score
88 vs 65
Hardware Fit
70 vs 92
Quality Score
96 vs 54
Hardware
qwen3.8-27b-fable-… qwen2.5:1.5b
MachineMacBook ProiMac
CPUApple M4 MaxIntel Core™ i7-4771
Cores168
RAM128 GB32 GB
GPUApple M4 MaxNVIDIA GeForce GTX 780M
OSmacOS 26.5.2macOS 15.7.3
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3.8-27b-fable-… qwen2.5:1.5b
Tokens/sec30.419.6
First chunk27 ms690 ms
TTFT4.4 s690 ms
Load timeN/A21.4 s
Memory usage19.9 GB1.0 GB
Memory %16%3%
HW Fit Score Breakdown
qwen3.8-27b-fable-fusio…
Speed
34/50
TTFT
6/20
Memory
30/30
qwen2.5:1.5b
Speed
42/50
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
qwen2.5:1.5b
Reasoning
8/20
Coding
9/20
Instruction
12/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate
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