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

qwen3_5 · 27B · MXFP4

THINKING MODEL

MacBook Pro (Apple M4 Max)

128 GB · macOS 26.5.2

Tested on August 20, 2026 · Submitted by Jujube
Top 13% Compare
Global Score
88 /100
Excellent
Hardware Fit
70/100
Quality
96/100

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Hardware

Machine
MacBook Pro
CPU
Apple M4 Max
Cores
16 total (12 perf + 4 eff)
Frequency
2.4 GHz
RAM
128 GB LPDDR5
GPU
Apple M4 Max
OS
macOS 26.5.2
Arch
arm64
Power Mode
balanced

Performance

Tokens/sec
30.4
Standard deviation
±0.4
First chunk latency
27 ms
Time to first token
4.4 s
Load time
N/A
Memory usage
19.9 GB (16%)
Total tokens
1598
Thinking tokens (est.)
~600

Score breakdown

Speed
34/50
Time to first token
6/20
Memory
30/30

Quality

Reasoning
19/20
Coding
19/20
Instruction following
18/20
Structured output
15/15
Math
15/15
Multilingual
10/10

Category levels

Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

Metadata

Spec version
0.2.1
Runtime
LM Studio 0.4.12+1
Model format
MLX
Hardware profile
HIGH-END
Result hash
2beca356929b7a3dc9ec48e8f1ac47df98d6fc49bb8a001d98b29626707e7300

Interpretation

Hardware fit: 70/100. Overall suitability: EXCELLENT (Global 88/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Warnings

  • Model memory footprint is estimated via LM Studio CLI rather than measured from a fresh load.

Bench Environment

Power: AC CPU load: avg 12% (peak 13%)

Run yours now

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest