I’m typing from my phone and im not going to review the semantics of Anthropic’s storied history of performance issues.
It’s not just ant. There are so many small knobs that providers can claim isn’t nerfing but “load management” or “improving user experience”. One example from OpenAI is reducing juice to reduce time to first token.
Two postmortems, neither quite "admitted to nerfing":
Sept 2025, infra bugs: "A small percentage of Claude Sonnet 4 requests experienced degraded output quality" [0], alongside "We never reduce model quality due to demand, time of day, or server load." [1]
April 2026, Claude Code: default reasoning effort was lowered from high to medium, plus a caching bug and a verbosity prompt. Per Anthropic, "The models themselves didn't regress, and the Claude API was not affected." [2]
So users were right that quality dropped, but the confirmed causes were bugs and a product default, not deliberate model degradation.