Qwen3.8-Flash-Next
Alibaba Qwen · released 2026-08-27 · qwen-community-1.0 (custom, weights released on Hugging Face) · announcement · weights
Price
unknown — not published, or the API model id isn't known yet.
Context window
262,144 tokens natively; extensible to 1,000,000
Rate limits
not published as a table by Alibaba Qwen.
Retirement
no retirement announced.
Runs on
Latest mentions
- TOOLING Also experienced the Qwen3.8-Flash-Next URL issue
— I was asking QFN (4.18bpw EXL3 quant via Pi) to help refactor a neovim configuration, and saw that it tried to find API keys and fetch an… · 6d ago
- TOOLING New Qwen3.8-Flash-Next Unsloth Dynamic V3.1 GGUFs
— Hey r/LocalLLaMA ! · 9d ago
- TOOLING Unsloth Qwen3.8-Flash-Next GGUFs V3.1 Update (November 4th 2026)
— Image-Text-to-Text model with 177B parameters. · 9d ago
- RESEARCH PSA: Upgrade Flash Next to DFlash2 if you haven't! +17% on average
— Not long ago, DFlash2 for Qwen3.8-Flash-Next was released, but initially llama.cpp compatibility wasn't there. · 14d ago
- TOOLING Lean-QwenFlash: Qwen3.8-Flash-Next (125B) running at ~20 tok/s on 16gb vram and 8gb ram via direct nvme SSD offloading
— Hey everyone, Most current setups for Qwen3.8-Flash-Next (like Strata) keep all 24k experts pinned in system RAM (~48–64 GB) and compute… · 20d ago
- RESEARCH [Benchmark] Strata/Basalt runs Qwen3.8 Flash Next IQ3_S with 16GB VRAM and 55GB RAM with up to 250 tok/s generation and 5,600 tok/s prompt processing (5080, Concurrency 1)
— Qwen3.8-Flash-Next IQ3_S on Basalt · RTX 5080 16 GB, Core Ultra 9 285K, 62 GB DDR5-6800 · 262K context, int8 KV Workload (prompts 5K+) PP… · 20d ago
- TOOLING Strata now supports Qwen 3.6 35B
— Qwen3.8-Flash-Next on any consumer hardware: one-click install for Windows / Linux. · 21d ago
- RESEARCH Qwen3.8-Flash-Next vs Opus 5.5: Six-way benchmark on a real Rust feature with Claude Code and Pi
— A few of you pointed out in my last post that comparing Flash-Next and Opus with different harnesses and effort levels wasn't fair. · 25d ago
- RELEASE ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-Coder-GGUF updated
— Look out for the updated version! What changed This update changes which experts are retained. · 26d ago
- RESEARCH incoai/Qwen3.8-Flash-Next-DFlash2
— By the original authors of DFlash 2 It's about 20% faster than MTP in their table when concurrency 1. · 26d ago
- RELEASE FP4 QAD quant of Qwen3.8-Flash-Next from Nvidia
— Size is pretty small at 102GB. For comparison nvidia/Qwen3.8-Flash-Next-NVFP4 is 133GB. · 29d ago
- TOOLING $2800 rig with 8x Radeon Pro V620 (256 GB VRAM) + custom vLLM fork = Qwen3.8-Flash-Next at 60 to 100 t/s decode and 3000+ t/s prefill
— Post title is slightly misleading, I don't think you can get these for $350 each anymore but they're still pretty cheap all things… · 36d ago
- TOOLING Qwen3.8-Flash-Next on Strata
— Hey! 👋 I have released an official support for Strix Halo machines on Strata for Qwen3.8-Flash-Next. · 39d ago
- TOOLING My qwen model hallucinated a signed URL to Alibaba cloud, normal or sketchy?
— I'm using Qwen3.8-Flash-Next running on my Mac Studio as a daily driver for coding + productivity tasks, and yesterday it did something… · 40d ago
- TOOLING Two 96 GB Ascend cards crun Qwen3.8-flash-next hardware notes, vLLM work, benchmarks, and what is next
— I have been building a somewhat unusual local inference machine around two Huawei Atlas 300I Duo cards. · 43d ago
- TOOLING Two open-weights releases: Victoria (Qwen3.8-Flash-Next with 44% of experts cut, 70% Terminal-Bench 2.1, GGUF included) and Maple (a Canada-first fine-tune)
— We had a Dell B300 in the lab for a few weeks and used it to create two fine tunes of Qwen Flash Next. · 44d ago
- RELEASE [Release] GSQ-RCO GGUFs for Qwen3.8-Flash-Next, plus a 50% expert-pruned Coder build at ~1.89 bpw
— We have released Qwen3.8-Flash-Next quantized with GSQ and RCO, together with a second, capability-targeted build in which half of the… · 46d ago
- TOOLING Swift1.5-Qwen3.8-Flash-Next is phenomenal vs. base 3.8-Flash!
— TL;DR - Swift Flash is a killer model that massively reduces excess reasoning. · 49d ago
- TOOLING Qwengram-0.8B: I transferred Qwen3.8 Flash-Next’s n-gram memory into Qwen3.5-0.8B — 5.05% lower validation perplexity
— I’ve been experimenting with whether Qwen3.8-Flash-Next’s pretrained PLE n-gram memory can improve a much smaller Qwen3.5-0.8B model. · 50d ago
- TOOLING Qwen3.8-Flash-Next on 12GB VRAM - 65 tokens per second
— A while ago I posted 15 tok/s output and 100-120 tok/s prompt processing with the IQ3_XXS quant on a 12GB RTX 5070 using llama.cpp. · 50d ago