Normalized Telegram record

Claude Code separates model choice from effort

Anthropic exposes model selection and effort level as different controls for capability, token use, latency, and persistence.

Signal contract

  • Anthropic exposes model selection and effort level as different controls for capability, token use, latency, and persistence.
  • Agent routing is becoming a multidimensional runtime decision rather than a single model dropdown, making task-aware cost controls more practical.
  • Novelty: notable. Verification: source-inspected.

Source ledger

Publishable sources attached to this record.

2 public sources
#SourceRolePublic status
1claude.comsourceprimary receiptsource_urls
2code.claude.comsourcesupporting receiptsource_urls

Observation

Anthropic exposes model selection and effort level as different controls for capability, token use, latency, and persistence.

Why it matters

Agent routing is becoming a multidimensional runtime decision rather than a single model dropdown, making task-aware cost controls more practical.

Entities

Claude Code, Anthropic

Provenance

This public record is an English normalization of QWG AI Telegram message 2676. The complete original-language post remains the canonical raw message.

Open the original Telegram record