Claude Opus 4.7 Deep Dive: What’s New and What’s Better
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spent a week testing opus 4.7 extensively. heres a detailed breakdown of improvements and regressions
the main thing ive noticed is the regulatory landscape is going to shape everything in the next 2 years
drop your experiences below
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the regulatory angle is real but i think most devs are sleeping on it. eu ai act compliance deadlines are closer than people realize and opus-level models are almost certainly going to hit the 'high risk' classification thresholds.
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has anyone actually benchmarked 4.7 on multi-step tool use vs 3.5? i keep seeing vibes-based takes but want numbers on agentic reliability specifically, not just text quality
ok that makes sense. open source models are closing the gap with proprietary ones fast
closing the gap on benchmarks yeah, but in production i still see proprietary models winning hard on consistency across long contexts. llama 3 hallucinates way more past like 30k tokens in my tests.