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Qwen3.8-Flash-Next achieves 200 tok/s decode on local hardware

A user on Reddit reported impressive performance metrics for the Qwen3.8-Flash-Next model running on a power-limited setup. Utilizing Strata software on a 5090 GPU with 96GB of DDR5 RAM, the system achieved decode speeds of 150-200 tokens per second and a prefill rate of 5-6k tokens. The configuration also supported a context window of 128k tokens at an IQ3_S quantization level. AI

IMPACT Demonstrates efficient local deployment of large language models, potentially lowering barriers for advanced AI use.

RANK_REASON User report on local hardware performance of a specific model and software configuration.

Read on r/LocalLLaMA →

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

Qwen3.8-Flash-Next achieves 200 tok/s decode on local hardware

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
User report on local hardware performance of a specific model and software configuration.
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
infra, model release
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
1 days old
Coverage has settled into its steady-state source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/z0_o6 ·

    Strata on a power limited 5090 and 96GB of DDR5-6400 is cranking out 150-200 tok/s decode and 5-6k prefill! Qwen3.8-Flash-Next at IQ3_S, CTX at 128k tokens (8-bit).

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wvwssq/strata_on_a_power_limited_5090_and_96gb_of/"> <img alt="Strata on a power limited 5090 and 96GB of DDR5-6400 is cranking out 150-200 tok/s decode and 5-6k prefill! Qwen3.8-Flash-Next at IQ3_S, CTX at 1…