qwen3.6-35b-a3b

qwen35moe · 35B · IQ3_XXS

Docker Container (Intel Gen Intel® Core™ i9-11900H)

15 GB · Ubuntu 26.04 LTS

Tested on June 29, 2026

Top 30% Compare

Global Score

79 /100

Good

Hardware Fit

59/100

Quality

87/100

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Hardware

Machine: Docker Container
CPU: Intel Gen Intel® Core™ i9-11900H
Cores: 16 threads (8 cores)
Frequency: 2.5 GHz
RAM: 15 GB
GPU: TigerLake-H GT1 [UHD Graphics]
OS: Ubuntu 26.04 LTS
Arch: x64
Power Mode: performance

Performance

Tokens/sec Tokens generated per second — higher is better: 9.3
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±1.4
First chunk latency Delay before the first streamed chunk arrives from runtime: 21 ms
Time to first token How fast the model starts responding — lower is better: 3.6 s
Load time Time to load the model into memory before inference: 32.0 s
Memory usage RAM consumed during inference — percentage of total system memory: 1.8 GB (12%)
Total tokens Total number of tokens generated across all benchmark prompts: 1325

Score breakdown

Speed

17/50

Time to first token

12/20

Memory

30/30

Quality

Reasoning

17/20

Coding

18/20

Instruction following

15/20

Structured output

15/15

Math

12/15

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 0.4.16+1
Model format: GGUF
Hardware profile: BALANCED
Result hash: f60fa6c2bc8eceac7ca3862c08cb66f8d6d7ce2d79b4bb894fa43294bedbe367

Interpretation

Hardware fit: 59/100. Overall suitability: GOOD (Global 79/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Warnings

Significant swap activity during benchmark (+0.9 GB). Model may exceed available RAM — results are severely degraded.

Bench Environment

Thermal: nominal Swap delta: +0.9 GB CPU load: avg 47% (peak 48%)

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