qwen3-30b-a3b-thinking-2507-claude-4.5-sonnet-high-reasoning-distill-mlx
qwen3_moe · 30B · MXFP4
THINKING MODEL
Mac Studio (Apple M2 Max)
96 GB · macOS 26.1
Tested on April 22, 2026 · Submitted by Frank
Global Score
95 /100
Excellent
Hardware Fit
94/100
Quality
96/100
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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
- 80.4
- Standard deviation
- ±0.7
- First chunk latency
- 46 ms
- Time to first token
- 1.8 s
- Load time
- N/A
- Memory usage
- 21.2 GB (22%)
- Total tokens
- 1560
- Thinking tokens (est.)
- ~449
Score breakdown
Speed
50/50
Time to first token
14/20
Memory
30/30
Quality
Reasoning
19/20
Coding
18/20
Instruction following
19/20
Structured output
15/15
Math
15/15
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
- MLX
- Hardware profile
- HIGH-END
- Result hash
- a4c08eb958cca2648f50c00ea6d751804e9becfb0b88be9d8dbee6fee980b4df
Interpretation
Hardware fit: 94/100. Overall suitability: EXCELLENT (Global 95/100). 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.
Bench Environment
Power: AC CPU load: avg 15% (peak 20%)
Run yours now
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest