qwen3.5-9b-64k:latest

qwen35 · 9.0B · Q4_K_M

Micro-Star International Co., Ltd. Stealth GS77 12UH (Intel Gen Intel® Core™ i9-12900H)

32 GB · Microsoft Windows 11 Home 10.0.26200

Tested on October 31, 2026

Top 55% Compare

Global Score

75 /100

Good

Hardware Fit

68/100

Quality

78/100

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Ollama

ollama pull qwen3.5-9b-64k:latest

View on Ollama Library

ollama.com/library/qwen3.5-9b-64k

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GGUF versions & quantizations

Hardware

Machine: Micro-Star International Co., Ltd. Stealth GS77 12UH
CPU: Intel Gen Intel® Core™ i9-12900H
Cores: 20 total (20 perf)
Frequency: 2.9 GHz
RAM: 32 GB DDR5
GPU: Intel(R) Iris(R) Xe Graphics, NVIDIA GeForce RTX 3080 Laptop GPU
OS: Microsoft Windows 11 Home 10.0.26200
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 12.6
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: 586 ms
Time to first token How fast the model starts responding — lower is better: 586 ms
Load time Time to load the model into memory before inference: 15.0 s
Memory usage RAM consumed during inference — percentage of total system memory: 8.1 GB (26%)
Total tokens Total number of tokens generated across all benchmark prompts: 995

Score breakdown

Speed

18/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

14/20

Coding

15/20

Instruction following

14/20

Structured output

15/15

Math

10/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.40.13
Model format: GGUF
Hardware profile: BALANCED
Result hash: 38eedcc67ffc2ec0776b7ff3e5f99a87f93835252b6d7ffbb47231661f4c3a1a

Interpretation

Hardware fit: 68/100. Overall suitability: GOOD (Global 75/100). Category profile: Reasoning: Adequate, Coding: Adequate, Instruction Following: Adequate, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Warnings

Significant swap activity during benchmark (+1.7 GB). Model may exceed available RAM — results are severely degraded.

Bench Environment

Power: AC Swap delta: +1.7 GB CPU load: avg 64% (peak 79%)

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