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

qwen3moe · 235.1B · Q4_K_M

Dell Inc. PowerEdge R820 (Intel Xeon® E5-4620 0)

256 GB · Microsoft Windows Server 2022 Datacenter 10.0.20348

Tested on August 2, 2026 · Submitted by Csaba_R820

Top 90% Compare

Global Score

43 /100

Not Rec.

Hardware Fit

28/100

Quality

49/100

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Ollama

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

View on Ollama Library

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

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GGUF versions & quantizations

Hardware

Machine: Dell Inc. PowerEdge R820
CPU: Intel Xeon® E5-4620 0
Cores: 64 total (64 perf)
Frequency: 2.2 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: 0.7
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: 6.4 s
Time to first token How fast the model starts responding — lower is better: 6.4 s
Load time Time to load the model into memory before inference: 0.9 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: 329

Score breakdown

Speed

1/50

Time to first token

3/20

Memory

24/30

Quality

Reasoning

19/20

Coding

2/20

Instruction following

4/20

Structured output

2/15

Math

13/15

Multilingual

9/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.32.5
Model format: GGUF
Hardware profile: HIGH-END
Result hash: 49b898935139517a991352bf18dc8ac23c9d133d10e2c843879d919142ea23b0

Interpretation

Hardware fit: 28/100. Overall suitability: NOT RECOMMENDED (Global 43/100). Category profile: Reasoning: Strong, Coding: Poor, Instruction Following: Poor, Structured Output: Poor, Math: Strong, Multilingual: Strong.

Disqualifiers

Token speed too low: 0.7 tok/s (minimum: 8 tok/s for HIGH-END profile)

Bench Environment

CPU load: avg 53% (peak 75%)

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