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Claude Opus 4.8 is here. Is it as good as they say?

I got a few hours of early-access testing with Anthropic’s newly released model Opus 4.8. I walk through real coding, design, and strategy tasks across Claude Code and Claude Cowork, and give you my unfiltered view on what impressed me and what didn’t.

  1. Where Opus 4.8 excels: greenfield prototypes, one-shot features, and fast execution

  2. Where it struggles: the last 10%, edge cases in existing codebases, and hallucinations

  3. How Opus 4.8 compares to Opus 4.7 on business strategy work

  4. Why I’m still reaching for Opus 4.7 on data-heavy strategy and roadmap work

  5. The new features shipping alongside the model: dynamic workflows with parallel subagents and effort control in Claude.ai and Cowork

  6. The prompting and harness strategy I’d use to get the most out of it

(00:00) Introduction to Opus 4.8

(00:44) Benchmark performance and pricing

(01:53) First coding test: Building a prototyping tool

(03:00) Where it failed: The last 10% problem

(03:27) The hallucination problem

(04:23) Testing Opus 4.8 on existing codebases

(05:24) The ambition test: Building games for a 9-year-old

(07:03) Business strategy test: 4.7 vs 4.8

(08:23) The roadmap test

(09:17) Final verdict

• System Card: Claude Opus 4.8: https://cdn.sanity.io/files/4zrzovbb/website/c886650a2e96fc0925c805a1a7ca77314ccbf4a6.pdf

• Introducing Claude Opus 4.8 on X:

X avatar for @claudeai

Claude@claudeai

Introducing Claude Opus 4.8: it builds on Opus 4.7 with sharper judgment, more honesty about its own progress, and the ability to work independently for longer than its predecessors. Available today at the same price.

Benchmark table showing how Claude Opus 4.8 compares to its predecessor and to other models on tests of coding, agentic skills, reasoning, and practical knowledge work tasks.

4:57 PM · May 28, 2026 · 4.84M Views

2.33K Replies · 4.84K Reposts · 42.4K Likes

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