qwen3-235b-a22b-t48-c8k:latest

qwen3moe · 235.1B · Q4_K_M

Dell Inc. PowerEdge R820 (Intel Xeon® E5-4650 v2)

256 GB · Microsoft Windows Server 2022 Datacenter 10.0.20348

Tested on August 23, 2026

Top 78% Compare

Global Score

61 /100

Not Rec.

Hardware Fit

31/100

Quality

74/100

Get this model

🦙

Ollama

ollama pull qwen3-235b-a22b-t48-c8k:latest

View on Ollama Library

ollama.com/library/qwen3-235b-a22b-t48-c8k

Get it in LM Studio

Search and download models directly from the app

🤗

Find on HuggingFace

GGUF versions & quantizations

Hardware

Machine: Dell Inc. PowerEdge R820
CPU: Intel Xeon® E5-4650 v2
Cores: 80 threads (40 cores)
Frequency: 2.4 GHz
RAM: 256 GB DDR3
GPU: Microsoft Remote Display Adapter, Microsoft Basic Display Adapter
OS: Microsoft Windows Server 2022 Datacenter 10.0.20348
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 1.7
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.0
First chunk latency Delay before the first streamed chunk arrives from runtime: 3.4 s
Time to first token How fast the model starts responding — lower is better: 3.4 s
Load time Time to load the model into memory before inference: 0.0 s
Memory usage RAM consumed during inference — percentage of total system memory: 134.2 GB (52%)
Total tokens Total number of tokens generated across all benchmark prompts: 919

Score breakdown

Speed

1/50

Time to first token

6/20

Memory

24/30

Quality

Reasoning

19/20

Coding

11/20

Instruction following

7/20

Structured output

14/15

Math

13/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.32.15
Model format: GGUF
Hardware profile: HIGH-END
Result hash: 424d11d200756cd8b60c4dd2713aec8bf5bba761203f3ef9141bdb3a4d4b4544

Interpretation

Hardware fit: 31/100. Overall suitability: NOT RECOMMENDED (Global 61/100). Category profile: Reasoning: Strong, Coding: Adequate, Instruction Following: Weak, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Disqualifiers

Token speed too low: 1.7 tok/s (minimum: 8 tok/s for HIGH-END profile)

Bench Environment

CPU load: avg 57% (peak 70%)

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