qwen3.8-27b-fable-fusion-f711-gain-mlx
LM-STUDIO MLXqwen3_5 · 27B · MXFP4
Aug 20, 2026 · Apple M4 Max
qwen2.5-7b-instruct
LM-STUDIO MLXqwen2 · 7B · 4bit
Mar 3, 2026 · Apple M4
Global Score
88 vs 84
Hardware Fit
70 vs 97
Quality Score
96 vs 78
Hardware
qwen3.8-27b-fable-… qwen2.5-7b-instruct
MachineMacBook ProMacBook Air
CPUApple M4 MaxApple M4
Cores1610
RAM128 GB32 GB
GPUApple M4 MaxApple M4
OSmacOS 26.5.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.8-27b-fable-… qwen2.5-7b-instruct
Tokens/sec30.424.4
First chunk27 ms464 ms
TTFT4.4 s464 ms
Load timeN/AN/A
Memory usage19.9 GB4.0 GB
Memory %16%13%
HW Fit Score Breakdown
qwen3.8-27b-fable-fusio…
Speed
34/50
TTFT
6/20
Memory
30/30
qwen2.5-7b-instruct
Speed
47/50
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
qwen2.5-7b-instruct
Reasoning
14/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate 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