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User prefers older Qwen3.8 27B model over Qwen Flash Next for agentic tasks

By PulseAugur Editorial · [1 sources] ·

A user on Reddit expressed disappointment with the Qwen Flash Next model, finding it less reliable for agentic tasks compared to the older Qwen3.8 27B model. Despite Qwen Flash Next's speed and ability to avoid loops, the user noted increased instruction-following issues and hallucinations. They are seeking feedback from others on their experiences with Qwen Flash Next in agentic work styles and different model flavors. AI

IMPACT User feedback highlights potential regressions in agentic capabilities for newer models.

RANK_REASON User opinion piece on model performance.

Read on r/LocalLLaMA →

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

User prefers older Qwen3.8 27B model over Qwen Flash Next for agentic tasks

How we ranked this

Signal score
2 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
User opinion piece on model performance.
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
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/86obsessed ·

    Ugh I didn't want to post this... Back to Qwen3.8 27B

    <!-- SC_OFF --><div class="md"><p>I don't know if anyone else has ran into these issues but when using Qwen Flash Next, my confidence in it at iq4_xs is high but not 100%. I notice it not following instructions, hallucinating more often and surprisingly it uses way less tokens th…

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