{"id":141752,"date":"2026-05-28T13:56:32","date_gmt":"2026-05-28T16:56:32","guid":{"rendered":"https:\/\/ubirataonline.com.br\/introducing-claude-opus-4-8-anthropic\/"},"modified":"2026-05-28T13:57:09","modified_gmt":"2026-05-28T16:57:09","slug":"introducing-claude-opus-4-8-anthropic","status":"publish","type":"post","link":"https:\/\/ubirataonline.com.br\/en\/introducing-claude-opus-4-8-anthropic\/","title":{"rendered":"Introducing Claude Opus 4.8 \\ Anthropic"},"content":{"rendered":"

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We\u2019re 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\u2019s available today for the same price.<\/p>\n

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 \u201cdynamic workflows\u201d feature that allows it to tackle very large-scale problems. And fast mode for Opus 4.8\u2014where the model can work at 2.5\u00d7 the speed\u2014is now three times cheaper than it was for previous models.<\/p>\n

Opus 4.8\u2019s capabilities<\/h2>\n

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<\/a>.<\/p>\n

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Collaborating with Opus 4.8<\/h2>\n

Early testers have found Claude Opus 4.8 to be more reliable and sharper in its judgement when it\u2019s performing agentic tasks. Below are quotes from many of these testers about their experience collaborating with Opus 4.8:<\/p>\n

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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\u2019t sound, and builds up confidence around complex, multi-service explorations before making big changes. It\u2019s a great model to build with.<\/p>\n<\/blockquote>\n<\/div>\n

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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.<\/p>\n<\/blockquote>\n<\/div>\n

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On CursorBench, Claude Opus 4.8 exceeds prior Opus models across every effort level. Tool calling is meaningfully more efficient, using fewer steps for the same intelligence, and it carries end-to-end tasks through.<\/p>\n<\/blockquote>\n<\/div>\n

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Claude Opus 4.8 delivers the highest score recorded on our Legal Agent Benchmark, and is the first model to break 10% overall on the all-pass standard. For substantive legal work, that\u2019s the kind of accuracy lift that translates directly into how much real attorney work our customers can hand off with confidence.<\/p>\n<\/blockquote>\n<\/div>\n

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Claude Opus 4.8 feels like a major quality-of-life update over Opus 4.7: faster, easier to collaborate with, 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, taste, and technical execution all have to happen side-by-side.<\/p>\n<\/blockquote>\n<\/div>\n

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Claude Opus 4.8 is the strongest computer-use and browser-agent model we\u2019ve tested, scoring 84% on Online-Mind2Web, 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\u2019 agent workloads need to be reliable end-to-end.<\/p>\n<\/blockquote>\n<\/div>\n

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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.<\/p>\n<\/blockquote>\n<\/div>\n

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On our long-running evals, Claude Opus 4.8\u2019s analysis was consistently higher quality than prior Opus models. It finished faster and produced richer, more information dense outputs. Overall, a noticeably better signal to noise ratio. The biggest differentiator was Opus 4.8\u2019s tendency to proactively flag issues with the inputs and outputs of an analysis, something other models routinely missed and left to the users to catch.<\/p>\n<\/blockquote>\n<\/div>\n

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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.<\/p>\n<\/blockquote>\n<\/div>\n

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Claude Opus 4.8 sets a new bar for enterprise AI. In Genie, Databricks\u2019 AI agent for data and knowledge work, the new Opus model unlocks a step change in agentic reasoning, tackling deeper, multistep questions faster than any prior Opus. Its multimodal strength also lets Genie reason directly over PDFs, diagrams, and other unstructured content at 61% cheaper token cost than Opus 4.7.<\/p>\n<\/blockquote>\n<\/div>\n

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For financial-document workflows in Hebbia\u2019s orchestrator, Claude Opus 4.8 delivers the same strong quality as Opus 4.7 with noticeably better citation precision and more token efficiency on retrieval, which works incredibly well for the kinds of dense filings our customers run every day.<\/p>\n<\/blockquote>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

One of the most prominent improvements in Opus 4.8 is its honesty<\/em>. We train all our models to be honest\u2014for instance, to avoid making claims that they can\u2019t 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<\/a>, 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.<\/p>\n

As always, we ran a detailed alignment assessment on the model before release. In terms of positive traits, our Alignment team concluded that Opus 4.8 \u201creaches new highs on our measures of prosocial traits like supporting user autonomy and acting in the user\u2019s best interest.\u201d 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, and similar to our best-aligned model, Claude Mythos Preview. The full alignment assessment, accompanied by a suite of pre-deployment safety tests, is reported in the Claude Opus 4.8 System Card.<\/p>\n

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Also launching today<\/h2>\n

In addition to Claude Opus 4.8, we\u2019re making the following updates:<\/p>\n