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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

gemma4:12b

OLLAMA GGUF

gemma4 · 11.9B · Q4_K_M

Excellent

Jul 4, 2026 · Apple M2 Pro

Global Score
88 vs 89
Hardware Fit
70 vs 88
Quality Score
96 vs 89

Hardware

qwen3.8-27b-fable-… gemma4:12b
MachineMacBook ProMacBook Pro
CPUApple M4 MaxApple M2 Pro
Cores1610
RAM128 GB16 GB
GPUApple M4 MaxApple M2 Pro
OSmacOS 26.5.2macOS 26.5
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.8-27b-fable-… gemma4:12b
Tokens/sec30.418.4
First chunk27 ms758 ms
TTFT4.4 s758 ms
Load timeN/A0.3 s
Memory usage19.9 GB7.5 GB
Memory %16%47%

HW Fit Score Breakdown

qwen3.8-27b-fable-fusio…

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

gemma4:12b

Speed
42/50
TTFT
20/20
Memory
26/30

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

gemma4:12b

Reasoning
17/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen3.8-27b-fable-… details | View gemma4:12b details

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