qwen3.6-35b-a3b-claude-4.7-opus-reasoning-distilled-apex

qwen35moe · 35B

THINKING MODEL

MacBook Pro (Apple M4 Max)

128 GB · macOS 26.5.2

Tested on August 19, 2026 · Submitted by Jujube
Top 13% Compare
Global Score
88 /100
Not Rec.
Hardware Fit
80/100
Quality
92/100

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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
76.7
Standard deviation
±1.6
First chunk latency
29 ms
Time to first token
30.0 s
Load time
N/A
Memory usage
23.9 GB (19%)
Total tokens
1429
Thinking tokens (est.)
~958

Score breakdown

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

Quality

Reasoning
19/20
Coding
18/20
Instruction following
17/20
Structured output
14/15
Math
14/15
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
GGUF
Hardware profile
HIGH-END
Result hash
a591cd04d69a5dc5c6cda99c696dc12a2eecc9f1fe1e9fdcc5104c72c651dc8d

Interpretation

Hardware fit: 80/100. Overall suitability: NOT RECOMMENDED (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.

Disqualifiers

  • Time to first token too high: 30000ms (maximum: 13000ms for HIGH-END profile)

Bench Environment

Power: AC CPU load: avg 14% (peak 18%)

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