qwen3.8-27b-fable-fusion-f711-gain-mlx
LM-STUDIO MLXqwen3_5 · 27B · MXFP4
Aug 20, 2026 · Apple M4 Max
qwen3:0.6b
OLLAMA GGUFqwen3 · 751.63M · Q4_K_M
Apr 29, 2026 · Intel Core™ i5-8350U
Global Score
88 vs 61
Hardware Fit
70 vs 85
Quality Score
96 vs 51
Hardware
qwen3.8-27b-fable-… qwen3:0.6b
MachineMacBook ProLENOVO 20L7CTO1WW
CPUApple M4 MaxIntel Core™ i5-8350U
Cores168
RAM128 GB23 GB
GPUApple M4 MaxKaby Lake-R GT2 [UHD Graphics 620]
OSmacOS 26.5.2Fedora Linux 43
Archarm64x64
Power Modebalancedlow-power
Performance
qwen3.8-27b-fable-… qwen3:0.6b
Tokens/sec30.427.0
First chunk27 ms597 ms
TTFT4.4 s8.7 s
Load timeN/A1.8 s
Memory usage19.9 GB0.9 GB
Memory %16%4%
HW Fit Score Breakdown
qwen3.8-27b-fable-fusio…
Speed
34/50
TTFT
6/20
Memory
30/30
qwen3:0.6b
Speed
50/50
TTFT
5/20
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
qwen3:0.6b
Reasoning
14/20
Coding
0/20
Instruction
9/20
Structured
12/15
Math
9/15
Multilingual
7/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Strong Math: Adequate 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