---
title: "How should I benchmark a local DeepSeek model with several users at once?"  
description: "How should I benchmark a local DeepSeek model with several users at once?"  
author: "Arnaud Simon"  
published: 2026-10-21  
updated: 2026-10-21  
canonical: https://www.mindstick.com/forum/162592/how-should-i-benchmark-a-local-deepseek-model-with-several-users-at-once  
category: "Local Model Performance"  
tags: ["DeepSeek", "local models", "LLM inference", "Performance Testing"]  
reading_time: 1 minute  

---

# How should I benchmark a local DeepSeek model with several users at once?

My local DeepSeek setup feels responsive when I test it alone, but I expect a few people to use it at the same time. A single-prompt tokens-per-second figure doesn’t tell me much about what happens once requests overlap.

For a useful comparison, which numbers do you track under concurrent load—time to first token, overall latency, throughput, or something else? I’d also like to know how people keep prompt lengths and hardware settings consistent between test runs.


---

Original Source: https://www.mindstick.com/forum/162592/how-should-i-benchmark-a-local-deepseek-model-with-several-users-at-once

Copyright © MindStick Software Pvt. Ltd. This Markdown version is provided for developers, AI systems, and offline reading.