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Claude Opus 4.7 Just Dropped... Or Did It Really?

86.0K views· 2,076 likes· 17:13· Apr 16, 2026

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Full courses + unlimited support: https://www.skool.com/ai-automation-society-plus/about?el=opus-4-7 All my FREE resources: https://www.skool.com/ai-automation-society/about?el=opus-4-7 Apply for my YT podcast: https://podcast.nateherk.com/apply Work with me: https://uppitai.com/ My Tools💻 Voice to text: https://get.glaido.com/nate Code NATEHERK for 10% off VPS (annual plan): https://www.hostinger.com/vps/claude-code-hosting READ THIS FOR OPUS 4.7: https://claude.com/blog/best-practices-for-using-claude-opus-4-7-with-claude-code Opus 4.7 just dropped and there's a lot to unpack. In this video I break down what happened with Opus 4.6, the controversy around it, and why Anthropic moved so fast to release 4.7. I walk through the benchmarks, what's actually different, how to use it, and what the community is saying so far. If you're trying to figure out whether this matters to you, this is the video. Sponsorship Inquiries: 📧 sponsorships@nateherk.com TIMESTAMPS 0:00 Intro 0:50 What Happened to Opus 4.6 4:23 Opus 4.7 Drops 5:30 Benchmarks Breakdown 6:37 Every Complaint Has a Matching Fix 8:04 New Features: X High & /ultra-review 10:13 The Desktop App Launch Issues 13:09 The Verdict: 4.6 vs 4.7 Tests 15:55 Bottom Line & Final Thoughts

About This Video

Opus 4.7 just dropped, and in this video I’m breaking down what actually happened—because the real story starts with Opus 4.6. Over the last couple weeks, a ton of power users (including me) felt the model getting noticeably worse: shallow thinking, skipping file reads in Claude Code, hallucinated details like fake commit hashes and package names, and even abandoning tasks mid-way. A big part of that came down to behavior changes like adaptive thinking allocating zero reasoning tokens on “simple” turns, plus effort defaults quietly getting dropped to medium—so people were paying the same price for a worse product and burning through tokens faster when things went off the rails. Then Anthropic moves fast and releases Opus 4.7 with claims that basically map 1:1 to the complaints: better instruction following, more rigorous long-running work, self-verification, better vision, and a new X high effort mode. I walk through the benchmarks, what’s likely real model change (vision gains, tokenizer updates, SWBench Pro jump), and what’s still “take it with a grain of salt.” I also rant a bit about the desktop app launch—cool concept, but way too many obvious bugs for a company this big. Bottom line: 4.7 looks better on paper, but you still need to test it in your own Claude Code workflows before you declare it a win.

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