qwen3.5:4b

qwen35 · 4.7B · Q4_K_M

MacBook Pro (Apple M1 Max)

32 GB · macOS 26.3

Tested on March 5, 2026 · Submitted by alph0x

Top 11% Compare

Global Score

83 /100

Excellent

Hardware Fit

100/100

Quality

76/100

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Ollama

ollama pull qwen3.5:4b

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ollama.com/library/qwen3.5

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GGUF versions & quantizations

Hardware

Machine: MacBook Pro
CPU: Apple M1 Max
Cores: 10 total (8 perf + 2 eff)
Frequency: 2.4 GHz
RAM: 32 GB LPDDR5
GPU: Apple M1 Max
OS: macOS 26.3
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 33.8
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: 293 ms
Time to first token How fast the model starts responding — lower is better: 293 ms
Load time Time to load the model into memory before inference: 2.5 s
Memory usage RAM consumed during inference — percentage of total system memory: 6.5 GB (20%)
Total tokens Total number of tokens generated across all benchmark prompts: 1078

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

16/20

Coding

14/20

Instruction following

15/20

Structured output

15/15

Math

7/15

Multilingual

9/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.17.6
Model format: GGUF
Hardware profile: BALANCED
Result hash: 73e9541b80c46930ff77d9981f227ff21af98336d0d22ec426be362b2c6de22d

Interpretation

Hardware fit: 100/100. Overall suitability: EXCELLENT (Global 83/100). Category profile: Reasoning: Strong, Coding: Adequate, Instruction Following: Strong, Structured Output: Strong, Math: Weak, Multilingual: Strong.

Bench Environment

Power: AC CPU load: avg 19% (peak 22%)

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$ metrillm

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