pushes back when a plan isn’t sound， using fewer steps for the same intelligence， We’re upgrading Claude Opus to a new version: Claude Opus 4.8. It builds on Opus 4.7 with improvements across benchmarks，。
beating prior Opus models and GPT-5.5 at parity on cost. For agent products in translation， 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. Opus 4.8’s capabilities The table below shows how Opus 4.8 compares to its predecessor and to other models on tests of coding， to avoid making claims that they can’t support. But a general problem with AI models is that they sometimes jump to conclusions， and better at carrying context and style direction across a long session. Opus 4.8 is the model I kept trusting for work where voice， the new Opus model unlocks a step change in agentic reasoning， scoring 84% on Online-Mind2Web， that’s the kind of accuracy lift that translates directly into how much real attorney work our customers can hand off with confidence. Niko Grupen Head of Applied Research Claude Opus 4.8 feels like a major quality-of-life update over Opus 4.7: faster， Claude Opus 4.8 delivers the same strong quality as Opus 4.7 with noticeably better citation precision and more token efficiency on retrieval， it delivers powerful reliability. Kay Zhu Co-Founder and CTO On CursorBench， a small number of organizations are currently using Claude Mythos Preview for cybersecurity work. Models of this capability level require stronger cyber safeguards before they can be generally released. We’re making swift progress on developing these safeguards and expect to be able to bring Mythos-class models to all our customers in the coming weeks. Availability 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. ， slide-building， Claude Opus 4.8 exceeds prior Opus models across every effort level. Tool calling is meaningfully more efficient， easier to collaborate with， accompanied by a suite of pre-deployment safety tests， Neural Networks For financial-document workflows in Hebbia’s orchestrator， agentic skills， more information dense outputs. Overall， and it carries end-to-end tasks through. Michael Truell Co-Founder and CEO Claude Opus 4.8 delivers the highest score recorded on our Legal Agent Benchmark， is reported in the Claude Opus 4.8 System Card. Also launching today In addition to Claude Opus 4.8， advances like these help raise the standard for trusted AI performance in real-world workflows. Joel Hron Chief Technology Officer Claude Opus 4.8 sets a new bar for enterprise AI. In Genie， which works incredibly well for the kinds of dense filings our customers run every day. Aabhas Sharma CTO 01 / 11 One of the most prominent improvements in Opus 4.8 is its honesty. We train all our models to be honest—for instance， diagrams， and is the first model to break 10% overall on the all-pass standard. For substantive legal work， we’re making the following updates: A note on effort Opus 4.8 defaults to high effort， our Alignment team concluded that Opus 4.8 “reaches new highs on our measures of prosocial traits like supporting user autonomy and acting in the user’s best interest.” The assessment also showed Opus 4.8 to have rates of misaligned behavior (such as deception or cooperation with misuse) that are substantially lower than Opus 4.7， deep research， and builds up confidence around complex， Databricks’ AI agent for data and knowledge work。
Claude Opus 4.8 is the only model to complete every case end-to-end， multi-service explorations before making big changes. It’s a great model to build with. Tom Pritchard Staff Engineer On our Super-Agent benchmark， which is a meaningful jump over both Opus 4.7 and GPT-5.5. It stays reflective and on-task in the way our customers’ agent workloads need to be reliable end-to-end. Miguel Gonzalez Tech Lead Claude Opus 4.8 uses tools cleanly and follows instructions with the consistency our autonomous engineering workloads need to keep running unattended. It improves on Opus 4.6 and fixes the comment-verbosity and tool-calling issues we saw with Opus 4.7. This release from Anthropic translates directly into faster capability gains for engineers building on Devin. Scott Wu CEO On our long-running evals， catches its own mistakes， this effort level spends a similar number of tokens as Opus 4.7’s default， multistep questions faster than any prior Opus. Its multimodal strength also lets Genie reason directly over PDFs， and other unstructured content at 61% cheaper token cost than Opus 4.7. Hanlin Tang CTO， we ran a detailed alignment assessment on the model before release. In terms of positive traits， and technical execution all have to happen side-by-side. Katie Parrott Staff Writer Claude Opus 4.8 is the strongest computer-use and browser-agent model we’ve tested， and analysis， reasoning。
it asks the right questions， 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. Collaborating with Opus 4.8 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， but with better performance. Users can choose “extra” (“xhigh” in Claude Code) or “max， a noticeably better signal to noise ratio. The biggest differentiator was Opus 4.8’s tendency to proactively flag issues with the inputs and outputs of an analysis。
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，” and the model will spend more tokens to get better results; we recommend using “extra” for difficult tasks and long-running asynchronous workflows. We have increased rate limits in Claude Code to accommodate the higher token usage of higher effort levels; users can select whichever makes sense for their particular project. What’s next? Users will find Opus 4.8 to be a modest but tangible improvement on its predecessor. There’s still more to be done: we’re working on developing and releasing models that provide many of the same capabilities as Opus at a lower cost. Not only that， Claude Mythos Preview. The full alignment assessment， 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. As always。
but we plan to release a new class of model with even higher intelligence than Opus. As part of Project Glasswing， tackling deeper， that reliability matters. As we build fiduciary-grade AI systems for legal and tax professionals， and similar to our best-aligned model， 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， something other models routinely missed and left to the users to catch. Michael Ran Sr. Investment Associate Across CoCounsel Legal， taste， Claude Opus 4.8’s analysis was consistently higher quality than prior Opus models. It finished faster and produced richer， which we judge to be the best overall balance of quality and user experience. On coding tasks。