// Get open-weight models
Qwen3.8
The latest generation of Alibaba’s open Qwen models (27B posted on HF 2026-08-05, Flash-Next 2026-08-24): Qwen3.5-style hybrid Gated DeltaNet + gated attention with multi-token prediction, native image/video understanding, thinking on by default (switchable per request, depth via reasoning_effort), 262K native context extendable to 1M. The 27B dense model is Apache-2.0 and runs on Transformers, vLLM and SGLang; one of the most-liked models on HF (18k+)
Open source Maintained For developers
IN ONE PARAGRAPH
Qwen3.8 is the latest generation of Alibaba’s open Qwen models (27B posted on HF 2026-08-05, Flash-Next 2026-08-24): Qwen3.5-style hybrid Gated DeltaNet + gated attention with multi-token prediction, native image/video understanding, thinking on by default (switchable per request, depth via reasoning_effort), 262K native context extendable to 1M. The 27B dense model is Apache-2.0 and runs on Transformers, vLLM and SGLang; one of the most-liked models on HF (18k+).
Good for: Developers and teams who want to get open-weight models.
01How to start
- 1Read the official quick-start (link above).
- 2Install or sign up as the official guide describes.
- 3Try it on a small example before wiring it into a project.
02Alternatives & comparison
Compare side by side →Versions, why it is listed, for AI to read
For AI agents
- Interfaces：its own app or website
- Machine-readable record：/api/v1/software/qwen3-8.json · llms.txt
- Added 2026-10-22 · updated 2026-10-22