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
Global Score
82 /100
Not Rec.
Hardware Fit
80/100
Quality
83/100
Get this model
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
- 54.7
- Standard deviation
- ±0.1
- First chunk latency
- 32 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
- 83a11030a8173c4f75b38bf94113cab5608436c53f38b6b2358d5b42fd3bab0a
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 8% (peak 9%)
Run yours now
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest