qwen3.5-35b-a3b-t48-c8k:latest

qwen35moe · 36.0B · 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 1, 2026 · Submitted by Csaba_R820

Top 69% Compare

Global Score

65 /100

Not Rec.

Hardware Fit

38/100

Quality

76/100

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Ollama

ollama pull qwen3.5-35b-a3b-t48-c8k:latest

View on Ollama Library

ollama.com/library/qwen3.5-35b-a3b-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: 3.4
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: 4.2 s
Time to first token How fast the model starts responding — lower is better: 4.2 s
Load time Time to load the model into memory before inference: 45.1 s
Memory usage RAM consumed during inference — percentage of total system memory: 22.0 GB (9%)
Total tokens Total number of tokens generated across all benchmark prompts: 1085

Score breakdown

Speed

3/50

Time to first token

5/20

Memory

30/30

Quality

Reasoning

16/20

Coding

15/20

Instruction following

9/20

Structured output

15/15

Math

11/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.32.5
Model format: GGUF
Hardware profile: HIGH-END
Result hash: 4332b7edb089bb5ac938d962b860c7cf8d7cee2c1861bc445a7fb5809442cb70

Interpretation

Hardware fit: 38/100. Overall suitability: NOT RECOMMENDED (Global 65/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Weak, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Disqualifiers

Token speed too low: 3.4 tok/s (minimum: 8 tok/s for HIGH-END profile)

Bench Environment

CPU load: avg 60% (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