Last Updated on September 25, 2026 by Editorial Team Author(s): Ankit Agrawal Originally published on Towards AI.

August brought new model support, faster Function calls, and major improvements across Modal Sandboxes. Here are the highlights. 🤖 Day-zero support for Kimi K3, Qwen 3.8, GLM 5.3, and GLM 5.3 Flash Explore four frontier open-weight models now supported on Modal Auto Endpoints.

Our 255th episode with a summary and discussion of last week’s big AI news!Recorded on 08/26/2026Hosted by Andrey Kurenkov and Jeremie HarrisFeel free…

We are excited to introduce Qwen3Guard, the first safety guardrail model in the Qwen family. Built upon the powerful Qwen3 foundation models and fine-tuned specifically for safety classificatoin, Qwen3Guard ensures responsible AI interactions by delivering precise safety detection for both prompts and responses, complete with risk levels and categorized classifications for accurate moderation.

We are excited to introduce Qwen-Image-Edit, the image editing version of Qwen-Image. Built upon our 20B Qwen-Image model, Qwen-Image-Edit successfully extends Qwen-Image's unique text rendering capabilities to image editing tasks, enabling precise text editing.

We are thrilled to release Qwen-Image , a 20B MMDiT image foundation model that achieves significant advances in complex text rendering and precise image editing. To try the latest model, feel free to visit Qwen Chat and choose “Image Generation”.

Reinforcement Learning (RL) has emerged as a pivotal paradigm for scaling language models and enhancing their deep reasoning and problem-solving capabilities. To scale RL, the foremost prerequisite is maintaining stable and robust training dynamics.

Here we introduce the latest update of Qwen-MT (qwen-mt-turbo) via Qwen API . This update builds upon the powerful Qwen3, leveraging trillions multilingual and translation tokens to comprehensively enhance the model’s multilingual understanding and translation capabilities.

Today, we're announcing Qwen3-Coder, our most agentic code model to date.

Here we introduce the latest update of Qwen-TTS ( qwen-tts-latest or qwen-tts-2025-05-22 ) through Qwen API . Trained on a large-scale dataset encompassing over millions of hours of speech, Qwen-TTS achieves human-level naturalness and expressiveness.

The evolution of multimodal large models is continually pushing the boundaries of what we believe technology can achieve. From the initial QwenVL to the latest Qwen2.5 VL, we have made progress in enhancing the model's ability to understand image content.

We release Qwen3 Embedding series , a new proprietary model of the Qwen model family. These models are specifically designed for text embedding , retrieval , and reranking tasks, built on the Qwen3 foundation model.

Today, we are excited to announce the release of Qwen3 , the latest addition to the Qwen family of large language models. Our flagship model, Qwen3-235B-A22B , achieves competitive results in benchmark evaluations of coding, math, general capabilities, etc., when compared to other top-tier models such as DeepSeek-R1, o1, o3-mini, Grok-3, and Gemini-2.5-Pro.