Descriptions:
David Ondrej spent four hours testing Claude Opus 4.7 immediately after launch and combined hands-on evaluation with a detailed read-through of Anthropic’s 232-page system card, producing one of the more thorough third-party breakdowns of the model available at release. The benchmark coverage is specific: SWE Pro jumps from 53.4% (Opus 4.6) to 64.3%, SWEBench Verified shows a comparable gain, and visual reasoning leaps from 69% to 82% — driven by a resolution increase from roughly 1,500 to 2,500 pixels that Anthropic achieved without additional training changes.
Ondrej pays particular attention to architectural signals. The new tokenizer, combined with the scale of benchmark improvements, leads him to speculate that Opus 4.7 may be a distilled version of the unreleased Mythos model rather than an incremental update to 4.6 — a hypothesis Anthropic has not confirmed. He also covers the model’s notable regression on needle-in-a-haystack long-context benchmarks at both 256k and 1M token lengths, and includes Claude Code co-creator Boris Churnney’s response characterizing that benchmark as a weak proxy for real-world long-context work.
On the Claude Code side, the video covers the new adaptive thinking mode (replacing always-on extended thinking), a new “extra high” reasoning effort tier, the /ultra review command, and the routines feature for trigger-based task automation. For developers and AI practitioners evaluating whether and how to integrate Opus 4.7 into production workflows, this video provides a structured, evidence-grounded starting point.
📺 Source: David Ondrej · Published April 16, 2026
🏷️ Format: Benchmark Test
