Claude Opus 4.7 with 1M context is the model we route the most demanding tasks to. The reasoning quality on multi-step problems - code refactoring, document analysis, agent loops - is genuinely a tier above GPT-5 on most of our internal benchmarks.
The 1M token context window is meaningful: full codebases fit, long PDFs fit, multi-hour transcripts fit. Prompt caching keeps the costs manageable at scale.
Where Claude trails: web-search-grounded factuality (Gemini wins), and pure speed (Haiku is faster but at lower quality).
Verdict: the reasoning king. 9.5/10.