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 September 7, 2026

Top 72% Compare

Global Score

65 /100

Not Rec.

Hardware Fit

29/100

Quality

81/100

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, NVIDIA Tesla P4, NVIDIA Tesla P4, 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: 2.4
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: 5.8 s
Time to first token How fast the model starts responding — lower is better: 5.8 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: 135.1 GB (53%)
Total tokens Total number of tokens generated across all benchmark prompts: 909

Score breakdown

Speed

2/50

Time to first token

3/20

Memory

24/30

Quality

Reasoning

19/20

Coding

15/20

Instruction following

10/20

Structured output

14/15

Math

13/15

Multilingual

10/10

Category levels

Reasoning: Strong Coding: Adequate Instruction Following: Adequate 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: 61c67cd65c8251f24b3bd3cc6eb6397f3954e18b4a23e307a885095ba81301f2

Interpretation

Hardware fit: 29/100. Overall suitability: NOT RECOMMENDED (Global 65/100). Category profile: Reasoning: Strong, Coding: Adequate, Instruction Following: Adequate, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Disqualifiers

Token speed too low: 2.4 tok/s (minimum: 8 tok/s for HIGH-END profile)

Bench Environment

CPU load: avg 33% (peak 89%)

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