PulseAugur
EN
LIVE 20:24:38

Qwen 3.8 Flash Next outperforms DeepSeek V4.1 on local LLM benchmarks

A user on Reddit's r/LocalLLaMA community has benchmarked two large language models, Qwen 3.8 Flash Next and DeepSeek v4.1 Flash 1017. In their testing using a modified version of BenchKit, Qwen 3.8 Flash Next achieved a perfect score of 25/25 on a small sample of data, while DeepSeek v4.1 Flash 1017 scored 23/25. The user found Qwen to be superior, noting faster response times and more accurate results on specific coding tasks. AI

IMPACT Suggests Qwen 3.8 Flash Next may offer superior performance for certain local LLM applications.

RANK_REASON User-conducted benchmark comparing two LLMs. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Qwen 3.8 Flash Next outperforms DeepSeek V4.1 on local LLM benchmarks

How we ranked this

Signal score
1 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
User-conducted benchmark comparing two LLMs. [lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/whiteh4cker ·

    Qwen 3.8 Flash Next (129 GB) is better than 2.6 bpw DeepSeek V4.1 Flash 1017 (187 GB + 203 GB Engram)

    <!-- SC_OFF --><div class="md"><p>I compared <a href="https://huggingface.co/albucino/Qwen3.8-Flash-Next-W4A16-FP8PLE">Qwen3.8-Flash-Next-W4A16-FP8PLE</a> at xhigh reasoning vs <a href="https://huggingface.co/icecubetr/DeepSeek-V4.1-Flash-1017-dsx-2.6bit">DeepSeek-V4.1-Flash-1017…