qwen3.5:27b

qwen35 · 27.8B · Q4_K_M

Mac mini (Apple M4)

24 GB · macOS 26.3

Tested on March 10, 2026

Top 53% Compare

Global Score

66 /100

Good

Hardware Fit

34/100

Quality

80/100

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Ollama

ollama pull qwen3.5:27b

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ollama.com/library/qwen3.5

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GGUF versions & quantizations

Hardware

Machine: Mac mini
CPU: Apple M4
Cores: 10 total (4 perf + 6 eff)
Frequency: 2.4 GHz
RAM: 24 GB LPDDR5
GPU: Apple M4
OS: macOS 26.3
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 4.0
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.2
First chunk latency Delay before the first streamed chunk arrives from runtime: 1.7 s
Time to first token How fast the model starts responding — lower is better: 1.7 s
Load time Time to load the model into memory before inference: 12.9 s
Memory usage RAM consumed during inference — percentage of total system memory: 21.3 GB (89%)
Total tokens Total number of tokens generated across all benchmark prompts: 1065

Score breakdown

Speed

8/50

Time to first token

20/20

Memory

6/30

Quality

Reasoning

16/20

Coding

18/20

Instruction following

9/20

Structured output

15/15

Math

12/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.17.7
Model format: GGUF
Hardware profile: ENTRY
Result hash: 13f9adba1ca289364cba8e7d491374313e4360ba9fe68defb60f196d5eb56bbd

Interpretation

Hardware fit: 34/100. Overall suitability: GOOD (Global 66/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Weak, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Warnings

Significant swap activity during benchmark (+2.0 GB). Model may exceed available RAM — results are severely degraded.

Bench Environment

Power: AC Swap delta: +2.0 GB CPU load: avg 15% (peak 22%)

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