全部 AI 动态

🔔 Qwen-Image-3.0 现已在 Qwen Cloud 上线！ 在 Arena. ai 的文生图竞技场 @arena 中，位列中国模型第 1 名、主流模型第 2 名，现在只需一次 API 调用即可使用。 - 支持高达 4.5k token 的提示词：一次生成报纸、故事板、菜单、试卷 - 文字清晰度低至 10px，细节近乎照片级 - 支持 12 种语言、100+ 种艺术风格，逼真的 UI 模拟 - 生成 + 编辑集于一个模型 💰价格： Qwen-Image-3.0 Pro — 最适合复杂布局、精准文字渲染和商业级视觉，每张图起价 $0.04。 Qwen-Image-3.0 Standard — 适合批量、日常图像生成，每张图起价仅 $0.03。 Qwen-Image-3.0-Pro 与 Standard。从提示词到可直接投产的图像。 👉 在 Qwen Cloud 上试用并获取你的 API key：https://www.qwencloud.com/models/qwen-image-3.0-pro?utm_content=g_20000001188 - 主流模型 = 日均 MaaS API 调用量超过 10 万的模型系列 #QwenCloud #Qwen

More exciting news from @Alibaba_Qwen: Qwen-Image-3.0-Pro has entered the Text-to-Image Arena at #5 with 1,263 pts! This is a strong improvement over Qwen-Image-2.0-Pro with 1,191 pts (#15 -> #5). Performance by category also improved substantially (see post below). Congrats to @Alibaba_Qwen on another huge release!

Qwen3.8 Max by @Alibaba_Qwen is live on OpenRouter. The new flagship has 2.4T parameters (95B active) and is built for long-horizon coding, research, and multimodal agent work. Open weights are due next week, a first for a Qwen Max-class model. https://openrouter.ai/qwen/qwen3.8-max

Big news: MiniMax-H3 by @MiniMax_AI is now the #1 open model in Video Arena: across both Text-to-Video and Image-to-Video. This is +280pts over the next best open model, hunyuan-video-1.5, and a huge improvement from Hailuo-2.3 at #27 (1199 pts) and Hailuo-02-pro at #28 (1197 pts). In Image-to-Video specifically, it scored 1476 pts, just 2 pts away from Dreamina Seedance-2.0 (1478), making it tied for#1 overall! Learn more about how MiniMax-H3 performed in Text-to-Video Arena in thread.

An internal version of our next major model produced 10 new results on long-standing open problems in mathematics and theoretical computer science, using roughly $2,000 worth of tokens at GPT-5.6 Sol API rates.

Today, we’re releasing Athena (mvrko-sim-1), the flagship Large Event Model from @markopolo_ai that beats GPT-5.6, Claude Opus 4.8, and Claude Sonnet 5 in OPeRa public benchmark for Shopping behaviour prediction! Athena introduces a completely different approach to understanding digital behavior. Most systems record actions after they happen. Athena models the sequence behind them to predict what a shopper will do next and exactly where they will do it, before the action even takes place. Athena vs. frontier models: We evaluated Athena on the full OPeRA test set alongside GPT-5.6, GPT-4.1, Claude Sonnet 5, and Claude Opus 4.8. Athena achieved 24.5% strict exact match scoring the highest among the five models evaluated. Athena is not a general-purpose language model. It is a Large Event Model built to understand behavior as a connected sequence. It combines the page someone is viewing, the actions that brought them there, and the goal they are trying to complete and then predicts the exact next browser action and target element. That distinction matters. Today’s digital systems largely react after someone clicks, abandons, purchases, or leaves. Athena creates the foundation for systems that can understand what is likely to happen before the outcome. Together with @RubaiyatFarhan, and the team at @markopolo_ai, we built Athena from years of work on shopper behavior, digital journeys, and behavioral intelligence. Commerce was our first proving ground. Great thing is, we’re now releasing Athena publicly so builders can adapt the model to new datasets, industries, and problems. We’re seeing early usecases in Cyber Security, Gaming, Mobile App Ecosystem, Retail and more! Athena is now live on Hugging Face! We built the foundation for relevance and predictability! Now, let’s see what the world builds on top of it. Links in the first reply.

Qwen 3.8 Max is now live in Command Code Go. … and it's going open weight!! most importantly, next week open-weights of Qwen3.8-Max and Qwen3.8-27B will be released! 🔹 2.4T params MoE flagship 🔹 Input: $2 Output: $6 🔹 Cache: $0.25 / M tokens 3.8 is 20% cheaper than 3.7

MiniMax H3 is native in ComfyUI, day zero with the weights. Model highlights: → Text-to-video, prompt only → Image-to-video → First-and-last-frame - control the opening frame, the closing frame, or both → Reference-to-video - carry a subject, a motion, or a voice through the clip → In-place editing - modify a shot you already have instead of regenerating it The capability @MiniMax_AI leads with is multimodal context understanding, and it's what collapses those five tasks into one model. H3 takes images, audio, and video together and resolves them against a prompt that explains how they relate. Download the workflows & learn more in our blog 👇

MiniMax H3 open weights are live on fal, day 0.