Qwen3.6-35B-A3B-Q4_K_M:latest

qwen35moe · 34.7B · Q4_K_M

Micro-Star International Co., Ltd. MS-7E51 (AMD Ryzen 7 9700X 8-Core Processor)

31 GB · Microsoft Windows 11 Pro 10.0.26200

Tested on August 18, 2026

Top 22% Compare

Global Score

86 /100

Excellent

Hardware Fit

87/100

Quality

86/100

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Ollama

ollama pull Qwen3.6-35B-A3B-Q4_K_M:latest

View on Ollama Library

ollama.com/library/Qwen3.6-35B-A3B-Q4_K_M

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GGUF versions & quantizations

Hardware

Machine: Micro-Star International Co., Ltd. MS-7E51
CPU: AMD Ryzen 7 9700X 8-Core Processor
Cores: 16 total (16 perf)
Frequency: 3.8 GHz
RAM: 31 GB DDR5
GPU: NVIDIA GeForce RTX 5080, AMD Radeon(TM) Graphics
OS: Microsoft Windows 11 Pro 10.0.26200
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 92.9
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±2.2
First chunk latency Delay before the first streamed chunk arrives from runtime: 362 ms
Time to first token How fast the model starts responding — lower is better: 362 ms
Load time Time to load the model into memory before inference: 12.3 s
Memory usage RAM consumed during inference — percentage of total system memory: 20.7 GB (67%)
Total tokens Total number of tokens generated across all benchmark prompts: 1041

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

17/30

Quality

Reasoning

16/20

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: Ollama 0.32.14
Model format: GGUF
Hardware profile: BALANCED
Result hash: 084efdee8ae87a1e454ad83d8647f1935ad501488c79dee2a0b78214dc422bf2

Interpretation

Hardware fit: 87/100. Overall suitability: EXCELLENT (Global 86/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

CPU load: avg 44% (peak 55%)

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