qwen3:8b

qwen3 · 8.2B · Q4_K_M

THINKING MODEL

AMD Ryzen 9 3900X 12-Core Processor

64 GB · Microsoft Windows 11 Pro 10.0.26200

Tested on August 15, 2026

Top 45% Compare

Global Score

78 /100

Good

Hardware Fit

86/100

Quality

74/100

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Ollama

ollama pull qwen3:8b

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ollama.com/library/qwen3

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GGUF versions & quantizations

Hardware

CPU: AMD Ryzen 9 3900X 12-Core Processor
Cores: 24 total (24 perf)
Frequency: 3.8 GHz
RAM: 64 GB DDR4
GPU: NVIDIA GeForce RTX 4060 Ti
OS: Microsoft Windows 11 Pro 10.0.26200
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 48.5
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.1
First chunk latency Delay before the first streamed chunk arrives from runtime: 202 ms
Time to first token How fast the model starts responding — lower is better: 4.3 s
Load time Time to load the model into memory before inference: 4.2 s
Memory usage RAM consumed during inference — percentage of total system memory: 5.5 GB (9%)
Total tokens Total number of tokens generated across all benchmark prompts: 1429
Thinking tokens (est.) Estimated internal reasoning tokens — models with "thinking" generate more tokens: ~988

Score breakdown

Speed

50/50

Time to first token

6/20

Memory

30/30

Quality

Reasoning

16/20

Coding

8/20

Instruction following

14/20

Structured output

14/15

Math

12/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama
Model format: GGUF
Hardware profile: HIGH-END
Result hash: e234e704ee42bd99dbce1bac33071c3347116d25f3135de9d6d478c1f4497779

Interpretation

Hardware fit: 86/100. Overall suitability: GOOD (Global 78/100). Category profile: Reasoning: Strong, Coding: Weak, Instruction Following: Adequate, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

CPU load: avg 15% (peak 17%)

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