Realtime AI News
Alibaba opens Qwen4-Max as a 15-day preview with a 1M-token context window
Alibaba opened Qwen4-Max as a fifteen-day preview on November 11, available only through its Token Plan and retired on November 25. The multimodal flagship offers a 1 million token context window with text, image and video input, but ships without published parameters, weights or benchmark results.
Alibaba's Qwen team opened Qwen4-Max to developers on November 11 as a preview reachable only through the company's Token Plan, with the model due to be retired when the preview closes on November 25, according to the official model page.
The Qwen account framed the generation around four claims: deeper knowledge, richer world understanding, stronger coding and stronger agentic capability. What Alibaba did not publish is nearly as notable — no parameter count, no weight release, no per-token price and no benchmark results.
Qwen4-Max is a multimodal flagship that takes text, images and video as input and covers text generation, image and video understanding plus deep reasoning. Alibaba positions it for coding, office productivity, frontend design and complex agentic tasks. The headline number is a 1 million token context window, with a maximum output of 393,216 tokens shared between the model's thinking and its final answer.
Thinking is on by default at a default reasoning effort of xhigh, and developers can dial it down through the reasoning_effort parameter, which accepts low, medium or xhigh; the documentation warns against setting it alongside a separate thinking budget. Tool calling covers function calling, web search and built-in tools, while structured outputs support both JSON Object and JSON Schema.
The API surface is deliberately familiar: it is compatible with OpenAI's Chat Completions and Responses APIs as well as Anthropic's Messages API, so existing tooling should be able to point at the new model without a rewrite.
Access is closed and time-boxed. The documentation states plainly that pay-as-you-go is not supported, so an API key on its own is not enough, and the same preview also runs inside QwenWork, Qoder, the Qwen app and QwenStudio.
Pricing is credit-based rather than per token. During the promotion, credits are consumed at as low as 20 percent of the standard rate, and calls between 22:00 and 08:00 UTC+8 take a further 60 percent off, landing at 8 percent of standard. The model ID qwen4-max-preview carries the alias qwen4.0-max-preview, and bills show the alias.
The launch followed a cryptic tease. On November 6 the Qwen team posted a poster of birds gathering over a dark sea and forming the shape of a fish, with a classical Chinese line that stops one character short of the word Kun, plus three English words: "The becoming begins." No model name, date or specification appeared on it.
The fifteen-day window is the part worth planning around. A model that is switched off after two weeks is fine for evaluation and is unsuitable for anything shipping in production without a fallback already wired up. A wider Qwen4 release has no announced date and the remaining tiers of the family have not been detailed, so the next two weeks read less like infrastructure to build on than a limited audition of capability.
Why it matters
Qwen4-Max previews the shape of Alibaba's next flagship — multimodal input, a million-token window and drop-in API compatibility — while limiting commitment through a closed, credit-based plan. Expect the November 25 shutdown, and whatever pricing survives it, to be the real signal for developers.
Nearby Updates
All11/12, 05:54
United Airlines Becomes First U.S. Carrier to Block Third-Party AI Agents From Booking Flights
United Airlines said Wednesday it will restrict unauthorized third-party personal AI agents from booking travel on its own platforms and through online travel agencies and aggregators. The carrier is the first major U.S. airline to state such a policy explicitly, citing credential sharing, unintended purchases and possible conflicts with FAA and DOT rules.
11/12, 06:52
Trellis Data unveils Agentaus 1, a 220B-parameter Australian model pitched as cheaper and locally controlled
On Thursday, Canberra-based Trellis Data unveils Agentaus 1, a roughly 220-billion-parameter model about 50 percent larger than its predecessor, built by a company with under $10 million in external funding. Founder Michael Gately concedes it ranks only 43rd globally and trails frontier models by four to six months, but argues a local model is cheaper and safer on data privacy for businesses that need good-enough AI.
11/12, 06:52
Claude Mythos moves into Cisco and IBM security platforms
Anthropic's Claude Mythos is expanding into Cisco's and IBM's security platforms, according to a Security Boulevard report. The signal is less about model capability than about distribution: the model lands inside the platforms security teams already run instead of arriving as a separate endpoint.
11/12, 04:33
Anthropic IPO filing discloses $1 billion Microsoft stake as Microsoft shares slip
Anthropic's IPO filing has disclosed a Microsoft stake worth about $1 billion, and Microsoft shares fell after the report on November 11, according to SSBCrack. The disclosure puts the two companies' mix of partnership and competition in front of public-market investors for the first time.