Jun 24
Paying for a premium chatbot and getting worse results? This guide explains AI model regressions, hidden context, routing, and practical fix
seen from Russia
seen from China
seen from China
seen from United States
seen from Malaysia
seen from United States
seen from United States
seen from Spain
seen from China
seen from United States
seen from United States
seen from United States
seen from United Kingdom
seen from Egypt
seen from Malaysia
seen from China
seen from United Kingdom
seen from Malaysia
seen from United States
seen from China
Paying for a premium chatbot and getting worse results? This guide explains AI model regressions, hidden context, routing, and practical fix
Claude Opus 4.7 Is a Routing Problem
topic_id: claude-opus-4-7-routing-effort-guide platform: Tumblr content_mode: C_light_touch persona: Research Editor source_template: claude-opus-4-7-fast-mode_B_master.md canonical_url: https://evolink.ai/blog/claude-opus-4-7-routing-guide landing_url: null utm_source: tumblr utm_campaign: opus_4_7_routing
publish_status: draft
The interesting thing about Claude Opus 4.7 is not that it is better. It is that Anthropic shipped controls for how hard it thinks.
New xhigh effort level. Task budgets that cap how much an agent spends per turn. Per-request effort tuning.
This turns model selection from a one-time decision into a routing problem: which task gets deep reasoning, which task gets speed, which task gets a budget cap.
The teams that figure out routing will outperform the teams that just pick the "best model" for everything.
Anthropic announcement →