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qwen3.8-27b-fable-fusion-f711-gain-mlx

LM-STUDIO MLX

qwen3_5 · 27B · MXFP4

Excellent

Aug 20, 2026 · Apple M4 Max

qwen3:1.7b

OLLAMA GGUF

qwen3 · 2.0B · Q4_K_M

Good

Mar 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score
88 vs 72
Hardware Fit
70 vs 92
Quality Score
96 vs 63

Hardware

qwen3.8-27b-fable-… qwen3:1.7b
MachineMacBook ProAZW GTR Pro
CPUApple M4 MaxAMD RYZEN AI MAX+ 395
Cores1632
RAM128 GB125 GB
GPUApple M4 MaxAMD Radeon 8060S
OSmacOS 26.5.2Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

qwen3.8-27b-fable-… qwen3:1.7b
Tokens/sec30.4120.7
First chunk27 ms93 ms
TTFT4.4 s1.5 s
Load timeN/A2.5 s
Memory usage19.9 GB5.8 GB
Memory %16%5%

HW Fit Score Breakdown

qwen3.8-27b-fable-fusio…

Speed
34/50
TTFT
6/20
Memory
30/30

qwen3:1.7b

Speed
50/50
TTFT
12/20
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

qwen3:1.7b

Reasoning
13/20
Coding
6/20
Instruction
13/20
Structured
14/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest