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
Top 1% Compare
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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest