What shipped in AI.

Qwen-Image-2.1-Turbo is an accelerated checkpoint of Qwen-Image-2.1 for text-to-image generation and image editing with 8 denoising steps. It uses the same 7B visual generation architecture and loads directly with QwenImage21Pipeline in Diffusers.

The provided source covers Qwen3.8-Flash-Next, a different model from the Max Prime record, so it cannot describe Max Prime's capabilities.

Multimodal mixture-of-experts model for agentic coding, document processing and tool-driven workflows with long context. Three of four layers use Gated DeltaNet, one layer uses Qwen Sparse Attention for retrieval across the full context.

Qwen-Image-2.1 combines text-to-image generation and image editing in one model. According to its model card, it outputs transparent RGBA images, accepts up to 10 reference images, and aims to preserve identity for people and products.

No source describes Qwen3.8 Max itself. The available announcement covers the separate Qwen3.8 Flash Next model, so the capabilities and intended use of Max remain unverified.

Qwen-Drive-1.0 retains the architecture of the pretrained Qwen3.5 vision-language model and integrates 3D perception, visual question answering, and motion planning within a unified framework.

Multimodal mixture-of-experts model aimed at long-context agentic coding and document workflows, with open weights for the Flash-Next preview. It combines Gated DeltaNet with Qwen Sparse Attention for efficient inference over up to 1M tokens.

Dense 27B vision-language model with native image and video understanding, adjustable thinking depth, and a focus on coding and long-horizon agentic tasks.

Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition, spatial understanding, and real-world...

The sources contain no description of the model, only a download pointer. The name and pipeline class suggest animation, but the sources do not confirm it.

Wan-Dancer generates long, rhythmic dance videos from a reference image and a music track. It plans global keyframes first and then refines locally, using the full track to keep the choreography coherent.

Qwen-AgentWorld is the first language world model to cover seven agent interaction domains within a single model. It simulates agentic environments via long chain-of-thought reasoning, predicting the next environment state given an agent's action and interaction history.

Qwen's latest Plus tier — 1M context, $0.32/$1.28 per MTok. Qwen3.7 Max (stronger) and Plus (more efficient) form the top of the Qwen3.7 line.

Strongest Qwen3.7 variant: 1M context, $1.25/$3.75 per MTok. More capable than Plus, but pricier. The Qwen3.7 line shipped late May 2026 as the successor to Qwen3.6.

Fast variant of the Qwen3.6 family: 1M context, $0.19/$1.13 per MTok. Qwen3.6 shipped as Flash, 27B, 35B and Max-preview variants — all on April 28, 2026.

Alibaba's strong open-weights model from April 2025 — basis for many downstream variants. Qwen3.5 and 3.6 followed in 2026. Often overlooked in the West despite AIME 2025 85.7%.