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
Global Score
88 /100
Not Rec.
Hardware Fit
80/100
Quality
92/100
Get this model
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$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest