qwen3.6-35b-a3b

qwen35moe · 35B · Q4_K_S

THINKING MODEL

Mac Studio (Apple M2 Max)

96 GB · macOS 26.1

Tested on April 20, 2026 · Submitted by Frank
Top 19% Compare
Global Score
82 /100
Not Rec.
Hardware Fit
80/100
Quality
83/100

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Hardware

Machine
Mac Studio
CPU
Apple M2 Max
Cores
12 total (8 perf + 4 eff)
Frequency
2.4 GHz
RAM
96 GB LPDDR5
GPU
Apple M2 Max
OS
macOS 26.1
Arch
arm64
Power Mode
balanced

Performance

Tokens/sec
55.2
Standard deviation
±0.2
First chunk latency
4 ms
Time to first token
30.0 s
Load time
N/A
Memory usage
30.3 GB (32%)
Total tokens
1591
Thinking tokens (est.)
~685

Score breakdown

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

Quality

Reasoning
18/20
Coding
10/20
Instruction following
18/20
Structured output
14/15
Math
14/15
Multilingual
9/10

Category levels

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

Metadata

Spec version
0.2.1
Runtime
LM Studio 0.4.10+1
Model format
GGUF
Hardware profile
HIGH-END
Result hash
7c51052dab7d7455d9d21d5f6effa77b7abb48768dd161de5c5864e9d48592f6

Interpretation

Hardware fit: 80/100. Overall suitability: NOT RECOMMENDED (Global 82/100). Category profile: Reasoning: Strong, Coding: Weak, 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.

Disqualifiers

  • Time to first token too high: 30000ms (maximum: 14500ms for HIGH-END profile)

Bench Environment

Power: AC CPU load: avg 10% (peak 11%)

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