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Anthropic releases Claude Opus 5.5 with lower listed prices

Anthropic released Claude Opus 5.5, the first model in its 5.5 family, and said it performs at the level of its earlier Claude Fable 5.1 on most work while costing 40% less to run than Opus 5. The company lists API prices of $4 per million input tokens and $20 per million output tokens, with cache reads at $0.20 per million tokens. It also says the model is more than 30% faster than Opus 5 at default settings.

Those are company measurements and pricing claims, rather than an independent ranking. Anthropic says external evaluators Frontier Design and METR tested the release, and that the model is deployed with its existing high-capability safeguards because of its biology and cybersecurity performance. Opus 5.5 is available across Claude, its API, and the major cloud platforms; access to some life-sciences and cyber uses remains subject to verification programs.

Alibaba lays out an AI stack from chips to agents

At its Apsara Conference, Alibaba announced a new high-performance AI chip, Qwen model updates, an agentic cloud and a mobile-agent platform. Alibaba Cloud said a next-generation Qwen 4 model is in training at a planned scale of up to 10 trillion parameters. Separately, the company presented the Zhenwu V900 chip as its highest-performance domestic offering.

The scale and performance language is Alibaba’s own, and parameter counts are not a direct measure of model quality. Associated Press reported that chief executive Eddie Wu described the V900 as three times as fast as its predecessor and that Alibaba plans more than 20 gigawatts of computing capacity by 2032. The announcement is nevertheless a notable statement of vertical integration: chips, cloud capacity, models and agents are being planned as one stack rather than as separate product lines.

Proofpoint packages AI and data protection together

Proofpoint announced an “Agentic Data and AI Security” system that it says combines data-security controls with security for AI use. The company says its Unit 42 Continuous Frontier AI Defense service uses gated models from Anthropic and OpenAI to identify, validate and help remediate enterprise exposures on a continuing basis.

This is a vendor announcement, so its claims about being the first unified system and about effectiveness have not been independently established here. The practical issue it identifies is broader: organizations adopting agents need to govern both what a model can access and what it can do with that access. Product descriptions alone do not answer how reliably those boundaries hold in a customer’s particular environment.

Nutanix acquires Ryax for agent orchestration

Nutanix announced that it acquired France-based Ryax Technologies, whose software is used to orchestrate and manage compute for AI workloads. Nutanix said it expects Ryax to help customers deploy and govern agentic applications across hybrid cloud environments.

The companies did not disclose financial terms in the announcement. The deal is another signal that the infrastructure layer around AI agents is becoming a product category in its own right: orchestration, access control, cost management and auditability are likely to matter alongside the model chosen to perform a task.

A proposed U.S. terminology change remains undefined

At the United Nations, President Donald Trump said U.S. government documents would use “super intelligence” in place of “artificial intelligence,” Reuters reported. Associated Press also reported the remark and said it was not immediately clear whether an official order existed.

The statement is not, by itself, a published policy or technical standard. Until a directive, scope and implementation guidance are available, the immediate significance is rhetorical rather than operational. It does, however, arrive as governments and companies use increasingly varied terms for advanced systems, which can make it harder to distinguish a brand, a capability claim and a binding rule.

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