qwen3.8-27b-fable-fusion-f711-gain-mlx
LM-STUDIO MLXqwen3_5 · 27B · MXFP4
Aug 20, 2026 · Apple M4 Max
glm-4.7-flash:q4_K_M
OLLAMA GGUFglm4moelite · 29.9B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
88 vs 81
Hardware Fit
70 vs 89
Quality Score
96 vs 77
Hardware
qwen3.8-27b-fable-… glm-4.7-flash:q4_K_M
MachineMacBook ProASUS
CPUApple M4 MaxIntel Core™ i5-14600KF
Cores1620
RAM128 GB32 GB
GPUApple M4 MaxNVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 26.5.2Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3.8-27b-fable-… glm-4.7-flash:q4_K_M
Tokens/sec30.435.1
First chunk27 ms440 ms
TTFT4.4 s440 ms
Load timeN/A11.6 s
Memory usage19.9 GB18.4 GB
Memory %16%58%
HW Fit Score Breakdown
qwen3.8-27b-fable-fusio…
Speed
34/50
TTFT
6/20
Memory
30/30
glm-4.7-flash:q4_K_M
Speed
49/50
TTFT
20/20
Memory
20/30
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
glm-4.7-flash:q4_K_M
Reasoning
13/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate 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