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Qwen3.8-Flash-Next model impresses with speed and quality in early user tests

A user on Reddit shared their positive early experiences with the Qwen3.8-Flash-Next model, noting its impressive speed and quality for agentic coding tasks. Running on four R9700 GPUs, the model achieved generation speeds of approximately 100 tokens/second for concurrent streams and over 150 tokens/second for single streams, with prefill speeds exceeding 10,000 tokens/second. The user expressed surprise at the model's performance, particularly given its efficiency. AI

IMPACT Demonstrates strong performance for local LLM deployments, potentially improving efficiency for coding tasks.

RANK_REASON User testing of a specific model version on consumer hardware.

Read on r/LocalLLaMA →

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

Qwen3.8-Flash-Next model impresses with speed and quality in early user tests

COVERAGE [1]

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

    First few days of qwen3.8-flash-next on 4x R9700 - it's been really interesting so far

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wsxgbo/first_few_days_of_qwen38flashnext_on_4x_r9700_its/"> <img alt="First few days of qwen3.8-flash-next on 4x R9700 - it's been really interesting so far" src="https://preview.redd.it/n17r7tw87dsh1.png?wid…