qwen3.8-27b-fable-fusion-f711-gain-mlx
LM-STUDIO MLXqwen3_5 · 27B · MXFP4
Aug 20, 2026 · Apple M4 Max
lmstudio-community/gemma-4-12b-it-qat
LM-STUDIO GGUFgemma4 · 12B · Q4_0
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
88 vs 75
Hardware Fit
70 vs 48
Quality Score
96 vs 86
Hardware
qwen3.8-27b-fable-… lmstudio-community…
MachineMacBook ProDocker Container
CPUApple M4 MaxIntel Gen Intel® Core™ i9-11900H
Cores1616
RAM128 GB15 GB
GPUApple M4 MaxTigerLake-H GT1 [UHD Graphics]
OSmacOS 26.5.2Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance
Performance
qwen3.8-27b-fable-… lmstudio-community…
Tokens/sec30.45.8
First chunk27 ms101 ms
TTFT4.4 s5.3 s
Load timeN/A11.0 s
Memory usage19.9 GB0.6 GB
Memory %16%4%
HW Fit Score Breakdown
qwen3.8-27b-fable-fusio…
Speed
34/50
TTFT
6/20
Memory
30/30
lmstudio-community/gemm…
Speed
10/50
TTFT
8/20
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
lmstudio-community/gemm…
Reasoning
16/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
9/10
Reasoning: Strong Coding: Strong 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