Introducing Claude Opus 4.8
Anthropic has introduced Claude Opus 4.8, an upgraded version of its Opus model class offering better performance in coding, agentic tasks, and professional workflows. The new model launches with features like task effort control on claude.ai and dynamic workflows in Claude Code. Regular usage pricing remains unchanged from Opus 4.7.
The Core Development
We’re upgrading Claude Opus to a new version: Claude Opus 4.8. It builds on Opus 4.7 with improvements across benchmarks, and is a more effective collaborator. It’s available today for the same price.
Opus 4.8 launches alongside several new features. Users on claude.ai now have control over the amount of effort Claude puts into a task. Claude Code has a new “dynamic workflows” feature that allows it to tackle very large-scale problems. And fast mode for Opus 4.8—where the model can work at 2.5× the speed—is now three times cheaper than it was for previous models.
The table below shows how Opus 4.8 compares to its predecessor and to other models on tests of coding, agentic skills, reasoning, and practical knowledge work tasks. More details and a much wider range of capability evaluations are provided in the Claude Opus 4.8 System Card .
Real-World Use Cases & Applications
Across CoCounsel Legal, Claude Opus 4.8 delivered meaningful improvements in consistency and reasoning quality compared to prior Opus models. For the high-stakes professional workflows our customers depend on, that reliability matters. As we build fiduciary-grade AI systems for legal and tax professionals, advances like these help raise the standard for trusted AI performance in real-world workflows.
Claude Opus 4.8 is available everywhere today. Pricing for regular usage is unchanged from Opus 4.7: $5 per million input tokens and $25 per million output tokens. Pricing for fast mode is $10 per million input tokens and $50 per million output tokens. Developers can use claude-opus-4-8 via the Claude API .
Deployment & Availability
One of the most prominent improvements in Opus 4.8 is its honesty . We train all our models to be honest—for instance, to avoid making claims that they can’t support. But a general problem with AI models is that they sometimes jump to conclusions, confidently claiming to have made progress in their work despite the evidence being thin. Early testers report that Opus 4.8 is more likely to flag uncertainties about its work and less likely to make unsupported claims. This is borne out in our evaluations , which show that Opus 4.8 is around four times less likely than its predecessor to allow flaws in code it has written to pass unremarked.
Strategic Perspective & Ecosystem Impact
Early testers have found Claude Opus 4.8 to be more reliable and sharper in its judgment when it’s performing agentic tasks. Below are quotes from many of these testers about their experience collaborating with Opus 4.8:
Claude Opus 4.8 has noticeably better judgment. In Claude Code, it asks the right questions, catches its own mistakes, pushes back when a plan isn’t sound, and builds up confidence around complex, multi-service explorations before making big changes. It’s a great model to build with.
On our Super-Agent benchmark, Claude Opus 4.8 is the only model to complete every case end-to-end, beating prior Opus models and GPT-5.5 at parity on cost. For agent products in translation, deep research, slide-building, and analysis, it delivers powerful reliability.
Why it matters
The release demonstrates ongoing improvements in enterprise AI agent reliability and reasoning accuracy while maintaining previous pricing tiers.