Qwen: Qwen3.8-Omni-Flash

Qwen: Qwen3 VL Embedding

The Qwen3-VL-Embedding model series are the latest additions to the Qwen family, built upon the recently open-sourced and powerful Qwen3-VL foundation model. Specifically designed for multimodal information retrieval and cross-modal understanding, this suite accepts diverse inputs including text, images, screenshots, and videos, as well as inputs containing a mixture of these modalities.

Qwen: Qwen Max

General purpose & reasoning

Qwen: Qwen3.8-Max-0902

Qwen3.8-Max-0902 is a snapshot release of Qwen3.8-Max with stronger coding performance for complex engineering tasks and long-horizon autonomous development. It also improves agentic tool use and visual understanding for chart reasoning, document parsing, and multimodal perception, while retaining a 1M-token context window, reasoning mode, and a full tool ecosystem.

Qwen: Qwen3.8-Flash

Qwen3.8-Flash is the latest multimodal model from the Qwen family, combining powerful reasoning and generation with remarkable speed. It natively supports a million-token context window, allowing it to process lengthy documents, entire codebases, and complex conversations in a single pass. It shines in coding assistance, agentic workflows, and visual understanding — whether it's fixing code autonomously, operating desktop applications, or analyzing charts and long videos. Fully compatible with both OpenAI and Anthropic API protocols, it integrates seamlessly with popular developer tools like Claude Code and Codex, making it easy to build high-concurrency applications and intelligent workflows. With strong performance and highly competitive inference costs, Qwen3.8-Flash is an ideal choice for developers and businesses seeking the best of both worlds in AI applications.

Qwen: Qwen3.8-27B

The Qwen3.8 series 27B native vision-language dense model delivers significant improvements over the 3.6-27B version, with a focused enhancement in programming and office-scenario capabilities across both text and visual modalities. It can more reliably complete complex tasks end-to-end and produce trustworthy outputs.

Qwen: Qwen3.8-2.4T-A95B

Qwen3.8-2.4T-A95B is the open-source version of Tongyi Qianwen's latest flagship series, released in August 2026. It adopts a sparse MoE architecture with a total of 2.4 trillion parameters, activating approximately 95 billion per step, and supports 1 million token contexts with a hybrid attention mechanism. Core benchmarks include GPQA Diamond 92.6, PaperBench 93.0, OSWorld 86.1, and BabyVision 82.0. It ranks 4th globally on CodeArena.