Qwen3-Next-80B:80B

qwen3next · 79.7B · unknown

HP OMEN 35L VALORANT Limited Edition Gaming Desktop PC (Intel Core™ i7-14700F)

128 GB · Microsoft Windows 11 Enterprise 10.0.26200

Tested on August 18, 2026
Top 98% Compare
Global Score
25 /100
Not Rec.
Hardware Fit
71/100
Quality
5/100

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Hardware

Machine
HP OMEN 35L VALORANT Limited Edition Gaming Desktop PC
CPU
Intel Core™ i7-14700F
Cores
28 total (28 perf)
Frequency
2.1 GHz
RAM
128 GB DDR5
GPU
NVIDIA GeForce RTX 5080
OS
Microsoft Windows 11 Enterprise 10.0.26200
Arch
x64
Power Mode
balanced

Performance

Tokens/sec
29.1
Standard deviation
±399989.2
First chunk latency
815 ms
Time to first token
769 ms
Load time
56.9 s
Memory usage
61.7 GB (48%)
Total tokens
201

Score breakdown

Speed
29/50
Time to first token
17/20
Memory
25/30

Quality

Reasoning
0/20
Coding
0/20
Instruction following
5/20
Structured output
0/15
Math
0/15
Multilingual
0/10

Category levels

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

Metadata

Spec version
0.2.1
Runtime
Ollama 0.32.14
Model format
GGUF
Hardware profile
HIGH-END
Result hash
8024f66047c852a7fcd521c51cfadafb77201036dd13db699ff93ddc824ece6f

Interpretation

Hardware fit: 71/100. Overall suitability: NOT RECOMMENDED (Global 25/100). Category profile: Reasoning: Poor, Coding: Poor, Instruction Following: Weak, Structured Output: Poor, Math: Poor, Multilingual: Poor. Warning: model produced very low accuracy on quality tasks — results may be unusable despite good hardware performance.

Warnings

  • Model produced very low accuracy on quality tasks — results may be unusable despite good hardware performance.
  • Token speed is unstable (stddev 399989.2 tok/s, mean 29.1 tok/s) — may indicate thermal throttling or memory pressure.

Bench Environment

CPU load: avg 28% (peak 51%)

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