qwen3.8-27b-fable-fusion-f711-gain-mlx
LM-STUDIO MLXqwen3_5 · 27B · MXFP4
Aug 20, 2026 · Apple M4 Max
qwen3-vl:8b
OLLAMA GGUFqwen3vl · 8.8B · Q4_K_M
Apr 28, 2026 · Intel Xeon® Gold 6230
Global Score
88 vs 72
Hardware Fit
70 vs 89
Quality Score
96 vs 64
Hardware
qwen3.8-27b-fable-… qwen3-vl:8b
MachineMacBook ProHP HP Z8 G4 Workstation
CPUApple M4 MaxIntel Xeon® Gold 6230
Cores1680
RAM128 GB252 GB
GPUApple M4 MaxTU104GL [Quadro RTX 5000]
OSmacOS 26.5.2Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power
Performance
qwen3.8-27b-fable-… qwen3-vl:8b
Tokens/sec30.468.2
First chunk27 ms285 ms
TTFT4.4 s2.0 s
Load timeN/A42.4 s
Memory usage19.9 GB7.1 GB
Memory %16%3%
HW Fit Score Breakdown
qwen3.8-27b-fable-fusio…
Speed
34/50
TTFT
6/20
Memory
30/30
qwen3-vl:8b
Speed
50/50
TTFT
9/20
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-vl:8b
Reasoning
16/20
Coding
3/20
Instruction
10/20
Structured
11/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Strong 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