qwen3.5-27b-claude-4.6-opus-distilled-mlx

qwen3_5 · 27B · 4bit

THINKING MODEL

Mac mini (Apple M4)

24 GB · macOS 26.3

Tested on March 10, 2026
Top 95% Compare
Global Score
34 /100
Not Rec.
Hardware Fit
21/100
Quality
39/100

Get this model

Hardware

Machine
Mac mini
CPU
Apple M4
Cores
10 total (4 perf + 6 eff)
Frequency
2.4 GHz
RAM
24 GB LPDDR5
GPU
Apple M4
OS
macOS 26.3
Arch
arm64
Power Mode
balanced

Performance

Tokens/sec
6.1
Standard deviation
±0.6
First chunk latency
7 ms
Time to first token
22.9 s
Load time
N/A
Memory usage
19.8 GB (82%)
Total tokens
1729
Thinking tokens (est.)
~553

Score breakdown

Speed
12/50
Time to first token
0/20
Memory
9/30

Quality

Reasoning
1/20
Coding
14/20
Instruction following
5/20
Structured output
8/15
Math
4/15
Multilingual
7/10

Category levels

Reasoning: Poor Coding: Adequate Instruction Following: Weak Structured Output: Adequate Math: Poor Multilingual: Adequate

Metadata

Spec version
0.2.1
Runtime
LM Studio 0.4.6+1
Model format
MLX
Hardware profile
ENTRY
Result hash
9d2f7dbabebf5656b57cbc30df836ebc3a2b33c29ad4fa84231ce3aa3fc6bf52

Interpretation

Hardware fit: 21/100. Overall suitability: NOT RECOMMENDED (Global 34/100). Category profile: Reasoning: Poor, Coding: Adequate, Instruction Following: Weak, Structured Output: Adequate, Math: Poor, Multilingual: Adequate.

Warnings

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

Disqualifiers

  • Time to first token too high: 22856ms (maximum: 21386ms for ENTRY profile)

Bench Environment

Power: AC CPU load: avg 9% (peak 14%)

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