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On the Design of Qwen3.8-Next Architecture: Evaluation, Efficiency, and Training Stability research paper by Alibaba (Qwen), 2026

Alibaba (Qwen) · Architectures · Aug 31, 2026 · 76 citations · 62 upvotes

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What it shows

Qwen3.8-Flash-Next: a 125B mixture-of-experts model with 6B active that nearly matches its 397B predecessor at 1/9 the training compute.

By Zihan Qiu, Zekun Wang, Xiao Li and 33 more · arXiv 2608.30320 · PDF

Summarised by hand from the abstract.

More from Alibaba (Qwen)

All 78
Agents and evaluationUnverifiedOct 26, 2026Co-Design Bench: Multimodal Collaborative Coding Evaluation for Agentic ModelsCo-Design Bench evaluates how effectively coding agents update software applications based on user requests with text, images, and other media.Alibaba (Qwen)23 upvotesRead →Multimodal and roboticsUnverifiedOct 24, 2026Qwen-Image-PE: Learning Visual Design for Text-to-Image Prompt EnhancementQwen-Image-PE improves text-to-image prompts via two-stage training with caption-based reverse distillation and groupwise design rewards, scaling across data, model size, and information density.Alibaba (Qwen)23 upvotesRead →Multimodal and roboticsUnverifiedOct 23, 2026World-in-Context: Interactive Video World Modeling with In-Context ConditioningWorld-in-Context unifies view, action, and camera controls via explicit tokens and interaction-aware positional encoding to improve interactive video generation and navigation.Alibaba (Qwen)22 upvotesRead →Multimodal and roboticsUnverifiedOct 22, 2026Beyond Watching and Searching: Benchmarking Agents for Video-centered Deep Research ReportsThis benchmark evaluates how well AI agents can research and synthesize information from videos to produce interactive reports.Alibaba (Qwen)19 upvotesRead →Agents and evaluationUnverifiedOct 22, 2026UserArena: Benchmarking Interactive User Simulation for Long-Horizon Shopping AgentsUserArena introduces a real-world interactive benchmark with long-horizon shopping trajectories and an evaluation framework, alongside On-Policy Trajectory Distillation to improve simulator fidelity for agentic recommendations.Alibaba (Qwen)55 upvotesRead →Inference and efficiencyUnverifiedOct 19, 2026SWIFT: Self-guided Weak-to-strong dIFfusion models via Target extrapolationThis training method uses a smaller, frozen model to guide the training of a larger diffusion model, improving quality without increasing inference costs.Alibaba (Qwen)30 upvotesRead →Multimodal and roboticsUnverifiedOct 14, 2026BlenderWorld: Benchmarking Visual Agents for 3D Creation from Real-World ReferencesThis benchmark evaluates how well AI models can perform complex 3D creation and editing tasks within the Blender software.Alibaba (Qwen)23 upvotesRead →Applied AIUnverifiedOct 14, 2026CommerceGen-Studio: An End-to-End Framework for Commercial-Grade Main-Image GenerationThis paper presents an end-to-end framework for generating commercial-grade e-commerce product images by combining metadata extraction, layout planning, and multi-condition generation.Alibaba (Qwen)25 upvotesRead →

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About this paper
Venue
arXiv.org
Citations
76, 13 influential · Semantic Scholar
Upvotes
62 · Hugging Face
Lab
Alibaba (Qwen) · on Companies · on Quarterly

Changes

CitationsNov 9, 2026Influential citations rose from 11 to 13.
CitationsNov 9, 2026Citations rose from 65 to 76.
CitationsNov 2, 2026Influential citations rose from 5 to 11.
CitationsNov 2, 2026Citations rose from 33 to 65.
CitationsOct 12, 2026Influential citations rose from 2 to 5.
CitationsOct 12, 2026Citations rose from 20 to 33.
CitationsOct 5, 2026Citations rose from 7 to 20.
CitationsSep 28, 2026Citations rose from 6 to 7.
New paperSep 24, 2026Added to the list.