1 Million Token Context

Summary: Qwen3.8-Max in 30 Seconds Qwen3.8-Max is Alibaba’s new flagship model, made generally available on August 2, 2026. 2.4 trillion parameters, 95 billion active (MoE architecture). It reads text, images and video, and returns text. Context window is in the 1 million token class. On one task it ran 125 hours (about 5 days) with no human input, rebuilding an experiment from a machine learning paper from scratch, confirming its six findings, then inventing a method that beats the paper. It beats Claude Opus 4.8 on most coding and agent tests, trades blows with Claude Fable 5 and GPT-5.6 Sol, and falls behind on some. API pricing is $2 input / $6 output per million tokens. Repeated input costs $0.25. This is the first time Alibaba will open-weight a Max-class model. “Next week” is the word, but there is no date, license or model card yet. Ask an AI to “rebuild the experiment in this paper, then improve on it” and it normally stalls after a few turns, waiting for you to step in and steer. ...

The cards are being dealt again in the world of artificial intelligence! Google has pushed the boundaries one step further with the recently announced Gemini 3.1 Pro model. 🚀 If you are even slightly interested in AI, I’m sure your excitement will peak while reading this article. 😄 We have a lot to learn, so let’s get started right away! What is Gemini 3.1 Pro and Why is it So Important? To briefly summarize; Gemini 3.1 Pro is the most advanced, natively multimodal artificial intelligence model with the highest logical reasoning capability that Google has developed to date. Thanks to its massive 1 million token context window, it can process text, audio, image, video, and even entire code repositories simultaneously. 🤯 ...