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Slipstream engine boosts Qwen3.8-Flash-Next performance on Macs

A new inference engine called Slipstream has been released, offering significant speed improvements for running the Qwen3.8-Flash-Next model on Apple Silicon Macs. Slipstream achieves 41-52 tokens/s on a 64GB Mac, a 1.76x increase compared to llama.cpp, and maintains this speed even with context lengths up to 130,000 tokens. Separately, users are reporting impressive performance with Qwen3.8-Flash-Next on multiple R9700 GPUs, with single streams reaching over 150 tokens/s. AI

IMPACT Accelerates local inference for large language models on consumer hardware, potentially enabling more complex applications on personal devices.

RANK_REASON Release of a new inference engine for a specific model, offering performance improvements.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Slipstream engine boosts Qwen3.8-Flash-Next performance on Macs

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Release of a new inference engine for a specific model, offering performance improvements.
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COVERAGE [2]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/SnooPredictions515 ·

    Running 95.5 GiB Qwen3.8-Flash-Next at 41–52 tok/s on a 64GB Mac (1.76x faster than llama.cpp): Slipstream release, 130k context scaling, + Swift variant

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wva7l2/running_955_gib_qwen38flashnext_at_4152_toks_on_a/"> <img alt="Running 95.5 GiB Qwen3.8-Flash-Next at 41–52 tok/s on a 64GB Mac (1.76x faster than llama.cpp): Slipstream release, 130k context scaling, …

  2. 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…