Claude 4.8 Is Here

Anthropic yesterday released Claude Opus 4.8, which the company calls it “a modest but tangible improvement” over Opus 4.7. When a vendor undersells its own launch, pay attention to which number it is quietly proud of.

The company is pushing “honesty” as the new feature. Anthropic says Opus 4.8 is about 4x less likely than 4.7 to let flaws in code it wrote pass unremarked, and early testers say it flags its own uncertainties and makes fewer unsupported claims.

The sticker price is flat at $5 per million input tokens and $25 per million output. Fast mode runs at 2.5x speed and is now 3x cheaper than it was on previous models. Databricks reports its Genie product reasons over PDFs and diagrams at 61% lower token cost than on 4.7. More capability, lower cost, same price. That is deflation doing its work.

Alongside the model, Anthropic shipped effort control (you pick how hard Claude works on a response) and dynamic workflows in Claude Code, where one session plans a job, fans out hundreds of parallel subagents, verifies its own output, and runs migrations across hundreds of thousands of lines of code. The atomic unit of work moves from “ask a question” to “hand over a project.”

Anthropic shipped a modest, safe model while openly sitting on a more capable one it will not release. Project Glasswing members already use “Claude Mythos Preview” for cybersecurity, and Anthropic is holding the more powerful class back until its cyber safeguards are ready, which it expects in the coming weeks.

Frontier model innovation is accelerating, but the models the public can buy today are deliberately a step (or two) behind the models that exist.This raises the question that keeps me up at night: if this is what’s going on with LLM-based reasoning engines, what will happen when a lab achieves AGI?