Anthropic Releases Claude Opus 4.8 with Effort Control and Dynamic Workflows

May 28, 2026
Anthropic has launched Claude Opus 4.8, an upgrade to its Opus 4.7 model, adding features like user-selectable effort control, dynamic workflows in Claude Code, and a faster, cheaper mode option.
Anthropic Releases Claude Opus 4.8 with Effort Control and Dynamic Workflows

Anthropic has released Claude Opus 4.8, an update to its Opus 4.7 model, announced in a press release. The new version improves performance across benchmarks and introduces new features for users and developers, while maintaining the same pricing structure.

Claude Opus 4.8 adds effort control to claude.ai and Cowork, allowing users to adjust how much processing effort the model applies to a task. Higher effort settings produce more thorough responses, while lower settings prioritize speed and efficiency. In Claude Code, a research preview feature called dynamic workflows enables the model to handle large-scale problems by running hundreds of parallel subagents within a single session.

The update also reduces the cost of fast mode by three times compared to previous models, allowing Opus 4.8 to operate at 2.5 times the standard speed. Developers can now modify Claude’s system instructions mid-task through the Messages API without disrupting the prompt cache.

According to Anthropic’s internal assessments, Opus 4.8 shows improved reliability and reduced rates of misaligned behavior compared to its predecessor. The company plans to continue development through Project Glasswing, which is expected to introduce Mythos-class models with higher intelligence and enhanced cybersecurity safeguards in the coming weeks.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Daily AI Brief

Daily report covering major AI developments and industry news, with both top stories and complete market updates

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.