What a task costs on Opus 5.5
- ID
- 27385
- Status
- summarized
- Published
- 22 Sep 2026, 8:00 AM
- Fetched
- 23 Sep 2026, 4:03 AM
- Provider
- Claude
- Category
- ai-labs
- Original URL
- https://claude.com/blog/what-a-task-costs-on-opus-5-5
- Source URL
- https://raw.githubusercontent.com/leontloveless/ai-rss-feeds/main/feeds/claude.xml
Summary
- Score
- 7.5
- Created
- 23 Sep 2026, 4:04 AM
- Tags
- Audience
- developersvibe_codersai_agent_usersai_ml_learners
What happened
Anthropic's Addy Osmani breaks down what a coding task actually costs on Opus 5.5 in Claude Code, using list prices of $4/M input, $20/M output, and $0.20/M cache reads. The core insight is that per-token price is misleading: a model that needs more turns (retries, re-reads) costs more even at identical token pricing, because each turn resends the full conversation. The post includes interactive calculators to estimate task costs and tradeoffs between effort level, model size, and context window.
Why it matters
If you're using Claude Code or any agentic coding loop, your real cost driver is turn count, not token price. Before picking a model or effort setting, estimate how many round-trips your task typically needs — a cheaper model that retries twice can cost more than an expensive one that finishes in one pass. Check your session usage to see your actual turn distribution.
Discussion angle
Compare your own Claude Code session costs against the $4/$20/$0.20 pricing model — do your tasks look like one-pass reads or multi-turn retry loops, and which setting actually saves you money vs. just shrinking the bill while failing the task?