qwen3.6:35b

qwen35moe · 36.0B · Q4_K_M

THINKING MODEL

MacBook Pro (Apple M4 Pro)

48 GB · macOS 26.4.1

Tested on May 25, 2026 · Submitted by jc_code

Top 53% Compare

Global Score

70 /100

Not Rec.

Hardware Fit

66/100

Quality

71/100

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Ollama

ollama pull qwen3.6:35b

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ollama.com/library/qwen3.6

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GGUF versions & quantizations

Hardware

Machine: MacBook Pro
CPU: Apple M4 Pro
Cores: 14 total (10 perf + 4 eff)
Frequency: 2.4 GHz
RAM: 48 GB LPDDR5
GPU: Apple M4 Pro
OS: macOS 26.4.1
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 30.6
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.1
First chunk latency Delay before the first streamed chunk arrives from runtime: 304 ms
Time to first token How fast the model starts responding — lower is better: 30.0 s
Load time Time to load the model into memory before inference: 10.0 s
Memory usage RAM consumed during inference — percentage of total system memory: 28.1 GB (59%)
Total tokens Total number of tokens generated across all benchmark prompts: 1429
Thinking tokens (est.) Estimated internal reasoning tokens — models with "thinking" generate more tokens: ~785

Score breakdown

Speed

45/50

Time to first token

0/20

Memory

21/30

Quality

Reasoning

18/20

Coding

12/20

Instruction following

12/20

Structured output

6/15

Math

13/15

Multilingual

10/10

Category levels

Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Weak Math: Strong Multilingual: Strong

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.24.0
Model format: GGUF
Hardware profile: BALANCED
Result hash: 68ddeb47b2490a8bc90188bb0aed4d373aa6a546029b47a92992082e24cf45e3

Interpretation

Hardware fit: 66/100. Overall suitability: NOT RECOMMENDED (Global 70/100). Category profile: Reasoning: Strong, Coding: Adequate, Instruction Following: Adequate, Structured Output: Weak, Math: Strong, Multilingual: Strong.

Disqualifiers

Time to first token too high: 30000ms (maximum: 17841ms for BALANCED profile)

Bench Environment

Power: AC CPU load: avg 6% (peak 7%)

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