qwen3.6-35b-a3b

qwen35moe · 35B · Q3_K_S

MacBook Pro (Apple M1 Pro)

32 GB · macOS 15.6.1

Tested on October 20, 2026

Top 10% Compare

Global Score

89 /100

Excellent

Hardware Fit

90/100

Quality

88/100

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Hardware

Machine: MacBook Pro
CPU: Apple M1 Pro
Cores: 10 total (8 perf + 2 eff)
Frequency: 2.4 GHz
RAM: 32 GB LPDDR5
GPU: Apple M1 Pro
OS: macOS 15.6.1
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 39.1
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.0
First chunk latency Delay before the first streamed chunk arrives from runtime: 33 ms
Time to first token How fast the model starts responding — lower is better: 319 ms
Load time Time to load the model into memory before inference: N/A
Memory usage RAM consumed during inference — percentage of total system memory: 19.0 GB (60%)
Total tokens Total number of tokens generated across all benchmark prompts: 1301

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

20/30

Quality

Reasoning

16/20

Coding

18/20

Instruction following

16/20

Structured output

15/15

Math

13/15

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
Model format: GGUF
Hardware profile: BALANCED
Result hash: 5b5bc36863020ecf03f572cba286ee7e6e2778ed756b76fa01766a823b0dda89

Interpretation

Hardware fit: 90/100. Overall suitability: EXCELLENT (Global 89/100). 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.
Significant swap activity during benchmark (+0.5 GB). Model may exceed available RAM — results are severely degraded.

Bench Environment

Power: AC Swap delta: +0.5 GB CPU load: avg 36% (peak 42%)

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