Create

Sign in to ReadmeX

or

How we handle your data: Privacy Policy

ReadmeX

Your AI reading companion

What would you like to catch up on?

Pick a briefing, or ask your own question.

Your community and people briefings stay personal to you.

Story

DeepSeek V4.1 Flash vs Qwen 3.8 FN in One-Prompt V8 Test

AI summary

Reddit user /u/jesdga95 reported running the same one-shot prompt for an interactive V8 engine with two local models. DeepSeek V4.1 Flash 1017, using UD IQ1_M quantization and a single agent, generated about 250,000 tokens at roughly 94 tokens per second over about 60 minutes, used a 346,000-token context without compaction, and produced an engine the author said ran on the first attempt with working buttons. Qwen 3.8 FN, using NVFP4 quantization with one main agent and five subagents, ran at about 350 tokens per second in aggregate and took around 70 minutes. Two subagents did not complete their assigned work, while the author said the result included more parts and a better cutaway but also floating components and a less attractive appearance.

In-depth insight

The experiment provides an anecdotal comparison of local coding-agent throughput, context handling and output quality. The author cautioned that it was a one-shot test with limited capability coverage, likely training-data overlap and different quantization and agent configurations, so the results are not a controlled benchmark.

#DeepSeek V4.1 Flash 1017#Qwen 3.8 Flash Next#Basalt#Quecto Harness#NVIDIA GeForce RTX 5090#NVIDIA GeForce RTX 5060 Ti#AMD Ryzen 9 9950X#Three.js#WebGL

Original · 2 min readRead the original
Group chat

No comments yet. Start the conversation.